Participated in
#AVdatafest The QuickSolver : Machine Learning Mini-Hack
|
Participated in
Strategic Sprint Mar 2017
|
Participated in
Data Science Hackathon - Cross-sell: target the right customer
|
Participated in
#AVdatafest Xtreme ML Hack : Machine Learning Hackathon
|
Participated in
JanataHack: Machine Learning for IoT
|
Participated in
#AVdatafest Rampaging DataHulk: Machine Learning Mini-Hack
|
Participated in
JanataHack: Machine Learning for Banking
|
Participated in
JanataHack: Demand Forecasting
|
Participated in
LTFS Data Science FinHack 3
|
Participated in
Felicity : Kings of Machine Learning
|
Participated in
VISTA codeFest Computer Vision
|
Participated in
Janatahack: Customer Segmentation
|
Participated in
#AVdatafest SkillPower: Deep Learning
|
Participated in
Codefest: Linguipedia
|
Participated in
Capillary Machine Learning Hackathon
|
Participated in
HackLive 3: Guided Hackathon - NLP
|
Participated in
Fractal Analytics Hiring Hackathon
|
Participated in
Game of Deep Learning: Computer Vision Hackathon
|
Participated in
Club Mahindra DataOlympics
|
Participated in
McKinsey Analytics Online Hackathon - Sales Excellence
|
Participated in
AmExpert 2018 (Machine Learning Hackathon)
|
Participated in
Enigma codeFest Machine Learning
|
Participated in
Linguipedia codeFest Natural Language Processing
|
Participated in
JanataHack - E-Commerce Analytics ML Hackathon
|
Participated in
Skilltest: Tree Based Models
|
Participated in
Click Prediction Hackathon
|
Participated in
The Strategic Ball
|
Participated in
Genpact Machine Learning Hackathon
|
Participated in
HackLive 4: Guided Community Hackathon!
|
Participated in
LTFS Data Science FinHack 2
|
Participated in
JanataHack: HR Analytics
|
Participated in
ML Hikeathon (An Online Machine Learning Hackathon)
|
Participated in
McKinsey Analytics Online Hackathon
|
Participated in
The Strategic Saviour
|
Participated in
Skilltest: Deep Learning
|
Participated in
WNS Analytics Wizard 2019
|
Participated in
Janatahack: Healthcare Analytics II
|
Participated in
#AVdatafest: The Strategic Thor
|
Participated in
Janatahack: Machine Learning in Agriculture
|
Participated in
Online Challenge: Build A Recommendation Engine (Powered by IBM Cloud)
|
Participated in
Skilltest : R for Data Science
|
Participated in
Dataverse Hack: Build an AI Model to Save Lives
|
Participated in
Lord of the Machines: Data Science Hackathon
|
Participated in
Dataverse Hack
|
Participated in
Innoplexus Online Hackathon: Machine Learning Challenge
|
Participated in
#AVdatafest SkillPower: Machine Learning
|
Participated in
Skilltest: Logistic Regression
|
Participated in
Data Science Hackathon: Churn Prediction
|
Participated in
JanataHack: Time Series Forecasting
|
Participated in
WNS Analytics Wizard 2018 (Machine Learning Hackathon)
|
Participated in
JanataHack: Recommendation Systems
|
Participated in
Janatahack: Independence Day 2020 ML Hackathon
|
Participated in
Practice Problem: Intel Scene Classification Challenge
|
Participated in
Codefest: Enigma
|
Participated in
#AVdatafest SkillPower: Time Series
|
Participated in
Skilltest: Regression
|
Participated in
The Smart Recruits
|
Participated in
Janatahack: Cross-sell Prediction
|
Participated in
QuantumBlack Hackathon
|
Participated in
India ML Hiring Hackathon 2019
|
Participated in
McKinsey Analytics Online Hackathon - Healthcare Analytics
|
Participated in
Mind Your Strategy
|
Participated in
Janatahack: Healthcare Analytics
|
Participated in
Strategic Sprint
|
Participated in
Skilltest: k-Nearest Neighbor (kNN)
|
Participated in
JanataHack: Mobility Analytics
|
Participated in
Skilltest: Statistics
|
Participated in
LTFS Data Science FinHack ( ML Hackathon)
|
Participated in
DataHour: LLM Fine-tuning for Beginners with Unsloth
|
Participated in
DataHour: Large Language Models: Foundation, Evolution and Applications
|
Participated in
DataHour: Introduction to Serving Machine Learning Models as Microservices
|
Participated in
DataHour: Innovative Applications of Artificial Intelligence
|
Participated in
DataHour: Real-World REST APIs with Docker Containers
|
Participated in
DataHour: Building Robust RAG Applications for the Real-World
|
Participated in
DataHour: Evaluating LLMs and LLM Systems : Pragmatic Approach
|
Participated in
DataHour: Rust and Python in the age of LLMOps
|
Participated in
DataHour: Continuous Testing and Evaluation with LLMs
|
Participated in
DataHour: Full-Stack Data Science with FastAPI
|
Participated in
Better Data Understanding Through GenAI Powered Search
|
Participated in
DataHour: Harnessing ML and NLP for Elevated Customer Experiences
|
Participated in
DataHour: Empowering Stakeholders: With Supercharged & Functional Tableau Dashboard
|
Participated in
DataHour: Responsible Use of Generative AI
|
Participated in
DataHour: Creating Delightful Customer Experience with RAG
|
Participated in
DataHour: The Future of GenAI
|
Participated in
DataHour: Data Curation and Reliability for LLM and GenAI Applications
|
Participated in
DataHour: Should I Use RAG or Fine-Tuning?
|
Participated in
DataHour: How to Customize and Evaluate Your LLMs
|
Participated in
DataHour: Natural Language to SQL Translation: The Challenges, Evolution and Future
|
Participated in
DataHour:LangChain 101
|
Participated in
DataHour: Building Generative AI Applications using Amazon Bedrock
|
Participated in
DataHour: Demystifying HugginFace, LlamaIndex, and LangChain
|
Participated in
DataHour: Enterprise Challenges with Generative AI and LLMs
|
Participated in
DataHour: ML Model Deployment: Best MLOps and GitOps Practices
|
Participated in
DataHour: Open-Source For Accelerating AI Development
|
Participated in
DataHour: Implementing Gen AI solutions with RAG Architecture
|
Participated in
DataHour: Predictive Analytics - Performance Estimation without the Target Data
|
Participated in
DataHour: Build Your Own Private ChatBot using GenAI- RAG
|
Participated in
DataHour: Relationship of ML and Statistics - Optimizing Algorithmic Functions
|
Participated in
WNS Triange Hackquest
|
Participated in
DataHour: Natural Language to SQL: Analyzing Netflix Movies with LLMs
|
Participated in
DataHour: Search With ChatGPT: RAG and Semantic Search
|
Participated in
DataHour: Mastering Conversational AI: Building Question-Answer Bot with LLM and RAG
|
Participated in
DataHour: Creating Synthetic Data: An Easy Python Tutorial for Beginners
|
Participated in
DataHour: Interpreting Machine Learning Models with Python
|
Participated in
DataHour: Significance of Vector Databases in Gen AI
|
Participated in
DataHour: Visualizing Insights: Understanding Data Visualization Techniques
|
Participated in
DataHour: Model Explainability and Model Diagnosis
|
Participated in
DataHour: Large Language Models for India
|
Participated in
DataHour: Introduction to Convolutional Neural Networks
|
Participated in
DataHour: Creating Advanced & Large-Scale Recommendation System
|
Participated in
DataHour: Building a Simple LLM Application: ChatGPT Summarizer
|
Participated in
DataHour: Building Safe AI Experiences with Azure AI Content Safety
|
Participated in
DataHour: Fighting Customer Churn with Data Science, Analytics & Machine Learning
|
Participated in
DataHour: End-to-End Development: LLMOps and Azure AI for Generative Apps
|
Participated in
DataHour: Crafting and Implementing a GenAI Strategy with StratOps
|
Participated in
DataHour: ML Based Manufacturing Quality Inspection
|
Participated in
DataHour: Generative AI / LLMs using Databricks Data Intelligence Platform
|
Participated in
DataHour: Introduction to Time Series Analysis
|
Participated in
DataHour: Keeping LLMs Relevant: A Practical Guide to RAG and Fine-tuning
|
Participated in
DataHour: Navigating the Maze of A/B Testing Pitfalls in Business Decision Making
|
Participated in
DataHour: LLMOps - MLOps for Generative AI
|
Participated in
DataHour: Harnessing LLMs: Exploring Controllable Text Generation Without Fine-Tuning
|
Participated in
DataHour: Custom GPTs in Industry: Assessing GPT-4V
|
Participated in
DataHour: LLMs in Action: Crafting a Winning Product Strategy
|
Participated in
Ripik.AI HackFest: Unleashing AI Potential
|
Participated in
DataHour: Large Language Models- Evolution, Challenges and Way Forward
|
Participated in
DataHour: Multi-Modal RAG and Evaluation with LlamaIndex
|
Participated in
DataHour: NoSQL: Leveraging Large Language Models for Text2SQL
|
Participated in
DataHour: Optimizing LLMs with Retrieval Augmented Generation and Haystack 2.0
|
Participated in
DataHour: Democratising AI Deployment
|
Participated in
DataHour: High Impact AI/ML Solutions by Effective Formulation
|
Participated in
DataHour: LLM Training Tips & Tricks
|
Participated in
DataHour: Demystifying Demand Forecasting for Retail Success
|
Participated in
DataHour: Unwritten Rules for Success in Machine Learning
|
Participated in
DataHour: Why Did My AI Do That? Decoding Decision-Making in ML
|
Participated in
DataHour: MemeGPT: Fine-Tuning LLMs to Generate Memes
|
Participated in
DataHour: Current and Best Practices for LLM Evaluation
|
Participated in
DataHour: Medical-Chat Bot: The History of Our Attempt
|
Participated in
DataHour: Machine Learning Tips and Tricks
|
Participated in
DataHour: Elevating Business Transformation: Leveraging Retrieval Augmented Generation (RAG)
|
Participated in
DataHour: Building Useful Applications with LLMs
|
Participated in
DataHour: Create a Language to SQL Translator with LLM
|
Participated in
DataHour: Overview of Latent Diffusion, Stable Diffusion 1.5, & Challenges with SD 1.5
|
Participated in
DataHour: Era of AI-Assisted Innovation
|
Participated in
DataHour: Production Stack for LLMs
|
Participated in
DataHour: Building Multi-Stage Reasoning Systems with LangChain
|
Participated in
DataHour: Securing LLM-Based Applications
|
Participated in
DataHour: BUILDING CHATBOTS USING LLM
|
Participated in
DataHour: The Generative AI, Good & Bad with Real World Examples
|
Participated in
DataHour: NLP Tasks Chaining with GenAI: How to Utilize Traditional NLP Knowledge in the World of LLMs?
|
Participated in
DataHour: LLMs and Foundational Models in Ads Personalization
|
Participated in
DataHour: Harnessing the Power of LLMs: A Deep Dive into Practical Solutions
|
Participated in
DataHour: Building Complex Systems Using ChatGPT
|
Participated in
DataHour: The Dangers of Dirty Data
|
Participated in
DataHour: Advanced Generative AI and Data Storytelling
|
Participated in
DataHour: The 3 Secrets to Giving a Great Data Presentation
|
Participated in
DataHour: Crash Course on Data Visualization with Power BI
|
Participated in
DataHour: Generative AI: The Responsible Path Forward
|
Participated in
DataHour: Chat With Your Data- Dive into GPT Langchain LLM Framework
|
Participated in
DataHour: Efficient Fine-Tuning of LLMs on single T4 GPU using Ludwig
|
Participated in
DataHour: From Text to Video: Unraveling the Power and Pitfalls of Generative AI
|
Participated in
DataHour: Unleashing Generative AI in Data Analytics
|
Participated in
DataHour: The Ethical Frontiers of Generative AI
|
Participated in
DataHour: Crafting Text-Based Conversations: Leveraging VertexAI, Langchain, and Streamlit
|
Participated in
DataHour: How to Build a Generative AI Application?
|
Participated in
DataHour: Applications of Data Science in Pricing
|
Participated in
DataHour: Explainable AI: Demystifying the Black Box Models
|
Participated in
DataHour: RAG to Reduce LLM Hallucination
|
Participated in
DataHour: Demystifying Computer Vision
|
Participated in
DataHour: Using Clinical Data Science to Improve Clinical Outcomes
|
Participated in
DataHour: How LLMs Can Be Used in Day-to-Day Developer Tasks
|
Participated in
DataHour: Azure Bot Services: Transforming Conversational AI for Enhanced Experiences
|
Participated in
DataHour: Master the Art of Prompting with Generative AI for Real-World Business Solutions
|
Participated in
DataHour: Generative AI- Training Pipelines and Advanced Strategies
|
Participated in
DataHour: Supercharging LLM API Development with Fast API
|
Participated in
DataHour: The Future of Autonomous Systems and How Humans Fit In
|
Participated in
DataHour: Era of Gen AI
|
Participated in
DataHour: Exploring Limitless Potential: Leveraging Retrieval Augmented Generations with LLMs
|
Participated in
DataHour: Diffusion Model Fundamentals and Various Applications
|
Participated in
DataHour: Exploring Extended Reality- Going Beyond the Basics
|
Participated in
DataHour: Exploring the Potential of Generative AI
|
Participated in
DataHour: Attention From Scratch
|
Participated in
DataHour: Mastering Sentiment Analysis through Generative AI: A Deep Dive
|
Participated in
DataHour: Dreambooth- Stable Diffusion for Custom Images
|
Participated in
DataHour: Training Your Own LLM Without Coding
|
Participated in
DataHour: Introduction of Microsoft Fabric
|
Participated in
DataHour: Application of Data Science in the world of FinTech
|
Participated in
DataHour: LLM Fine Tuning with PEFT Techniques
|
Participated in
DataHour: Cutting Edge Tricks of Applying Large Language Models
|
Participated in
DataHour: Evaluation of GenAI Models and Search Use Case
|
Participated in
DataHour: Building Large Language Models for Code
|
Participated in
DataHour: From APIs to Insights: Building Custom Power BI Connectors for RESTful APIs
|
Participated in
DataHour: Quantum Computing Applications in Financial Industry
|
Participated in
DataHour: Practical Guide to Train Your Own Large Language Models
|
Participated in
DataHour: Using Langchain with LLM
|
Participated in
DataHour: Business Intelligence with Microsoft Power BI
|
Participated in
DataHour: Paying Attention to Attention - A Deep Dive into Attention Models
|
Participated in
DataHour: GEN AI - Image to Image Generation
|
Participated in
DataHour: Unlocking Language Model Potential - The Power of Prompt Engineering
|
Participated in
AMA: Generative AI & Career in Data Science / Data Analytics
|
Participated in
DataHour: Introduction to LLMs: An Interactive Workshop
|
Participated in
GANs- Explore the Boundaries of Generative Art
|
Participated in
LangChain in Action: Crafting Innovative LLM Powered Applications
|
Participated in
DataHour: Generative AI with LLMs
|
Participated in
DataHour: Building Trust, Ethics and Privacy in Generative AI & LLM
|
Participated in
DataHour: Generative AI using Azure Open AI
|
Participated in
DataHour: Fine Tuning Generative Models
|
Participated in
DataHour: Generative AI - Midjourney, Code Generation & Beyond
|
Participated in
DataHour: Reducing chatGPT Hallucinations by 80%
|
Participated in
Gen AI Meetup: Demystifying LLMs - Prompting and Applications in Data Science
|
Participated in
DataHour: Building Bridges - The Art of Prompt Engineering
|
Participated in
DataHour: LlamaIndex - QA Systems with Private Data and Effective Evaluation
|
Participated in
DataHour: Handling Satellite and Geospatial Raster Data in Python
|
Participated in
DataHour: Titanic Machine Learning Case Study using Python
|
Participated in
DataHour: Industrial Application of Large Language Models like ChatGPT
|
Participated in
DataHour: Statistics with Python for Data Science
|
Participated in
DataHour: An Overview of Generative AI
|
Participated in
DataHour: Exploring Dimensionality Reduction
|
Participated in
DataHour: Generative AI and Large Language Models
|
Participated in
DataHour: Geospatial Data Analysis
|
Participated in
DataHour: From Pixels to Insights- Practical Hands-on with Convolutional Neural Networks
|
Participated in
DataHour: ChatGPT in Python for Beginners
|
Participated in
DataHour: Building an End to End Machine Learning Pipeline for Large Language Models (LLMs)
|
Participated in
DataHour: What do Hiring Managers Look for in Data Scientists?
|
Participated in
DataHour: Web Scraping using Python Libraries
|
Participated in
DataHour: Fine Tuning NLP Pipeline on Hugging Face
|
Participated in
DataHour: A Beginner's Guide to Natural Language Processing
|
Participated in
DataHour: An Overview of Named Entity Recognition(NER)
|
Participated in
DataHour: Exploratory Data Analysis using Matplotlib and Seaborn
|
Participated in
DataHour: Introduction to Social Network Analysis
|
Participated in
DataHour: How to Become an AI/ML Cloud Architect?
|
Participated in
DataHour: Understanding Logistic Regression and Decision Tree Analysis
|
Participated in
DataHour: Building an End-to-End Solution for Big Mart Sales Prediction
|
Participated in
DataHour: Deep Dive into Kubernetes and Concepts of Containerization
|
Participated in
DataHour: Unlocking Business Growth - The Power of Customer Segmentation
|
Participated in
DataHour: Build Your Career in Data Analytics
|
Participated in
DataHour: An Introduction to Machine Learning with Sequence Data
|
Participated in
DataHour: How to Start Your Career in Data Engineering with SQL and Python?
|
Participated in
DataHour: Deep Dive on Transformers
|
Participated in
DataHour: Generating Labeled Data through Weak Supervision
|
Participated in
DataHour: How to Build a Multi Task Model using TensorFlow
|
Participated in
DataHour: Hands-on Journey to Neural Networks
|
Participated in
DataHour: FIFA World Cup Match Analysis Using Python
|
Participated in
DataHour: Personalizing Demand Planning Using Scenario Analysis
|
Participated in
DataHour: Best of Pandas & The Power of Simple Models
|
Participated in
DataHour: ChatGPT and the Future of NLP Systems
|
Participated in
DataHour: Basics of Big Data File Formats
|
Participated in
DataHour: Transformers from Scratch
|
Participated in
DataHour: Comparative Analysis in Qlik Sense
|
Participated in
DataHour: Getting Started with Python
|
Participated in
DataHour: Implementing Gradient Descent in Python
|
Participated in
DataHour: Google Cloud Vertex AI Platform
|
Participated in
DataHour: Apache Airflow - An Open Source Workflow Manager
|
Participated in
DataHour: Data Availability Through Data Lake in Large Organization
|
Participated in
DataHour: Feature Engineering and Selection for Machine Learning
|
Participated in
DataHour: Deep Learning for Time Series Forecasting
|
Participated in
DataHour: Conversational Intelligence & Interactive Bots
|
Participated in
DataHour: Data Visualization in 3D with Unity 3D
|
Participated in
DataHour: Application of Data Science in Insurance Industry
|
Participated in
DataHour: Caching in Data Science
|
Participated in
DataHour: Machine Learning on Live Streaming Data for AIOps
|
Participated in
DataHour: Evaluation Criteria for Validating Machine Learning Models
|
Participated in
DataHour: Dataflow on Google Cloud
|
Participated in
DataHour: Forecasting & Time-series Analysis
|
Participated in
DataHour: An Introduction to POS Tagging and Hidden Markov Model
|
Participated in
DataHour: Boosting Performance with Ensemble Methods
|
Participated in
DataHour: How Companies Use SQL to Extract Meaningful Insights Through Data?
|
Participated in
DataHour: Feature Engineering and benefits of EDA
|
Participated in
DataHour: How Good is AI for Conversations?
|
Participated in
DataHour: Constructing Machine Learning Pipelines using Scikit-learn
|
Participated in
DataHour: Mastering Guesstimate Interview Questions
|
Participated in
DataHour: A Simple Guide to Deep Metric Learning
|
Participated in
DataHour: Analyzing Data with SQL
|
Participated in
DataHour: Building a Web Application using Flask
|
Participated in
DataHour: Google Cloud No Code/Low Code AI Solutions
|
Participated in
DataHour: Roadmap to Data Engineering for Beginners
|
Participated in
DataHour: Contrastive Learning for Image Classification
|
Participated in
DataHour: How to Start your Journey in Data Engineering?
|
Participated in
DataHour: Data Architect vs Data Engineer
|
Participated in
DataHour: Document Segmentation using Layout Parser
|
Participated in
DataHour: Transforming HR with People Analytics
|
Participated in
DataHour: Application of ML Classification Techniques in Banking Industry
|
Participated in
DataHour: How to Forecast New Product Launches using Data Centric Approach
|
Participated in
DataHour: The Art of Using GPT3 Power
|
Participated in
DataHour: Everything You Need to Know About Pandas
|
Participated in
DataHour: An Introduction to Vision for Robotics
|
Participated in
DataHour: An Overview of Computer Vision
|
Participated in
DataHour: Building Effective Data Pipelines
|
Participated in
DataHour: Data Science in Banking Industry
|
Participated in
DataHour: Text Classification for Beginners
|
Participated in
DataHour: Understanding Energy Industry through EDA
|
Participated in
DataHour: Introduction to Deep Learning with FastAI
|
Participated in
DataHour: Metrics in Tech - Using Data to Drive Business Decisions
|
Participated in
DataHour: Deep Dive into Airflow Components
|
Participated in
DataHour: Exploring the Best Book Sellers Dataset
|
Participated in
DataHour: Solving Business Problems with Microsoft Excel
|
Participated in
DataHour: Demystifying RCNN Family for Object Detection
|
Participated in
DataHour: Data Preparation and Feature Engineering in ML
|
Participated in
DataHour: Unlocking the Power of Embeddings
|
Participated in
DataHour: An Introduction to Spark for Data Engineering
|
Participated in
DataHour: Implementing a Neural Network using Pytorch
|
Participated in
DataHour: Exploring the World of AI and its Career Opportunities
|
Participated in
DataHour: Optimizing Real-Time ML Inference with Nvidia Triton Inference Server
|
Participated in
DataHour: A/B testing - Theory, Practice and Pitfalls
|
Participated in
DataHour: Understanding Graph Data Science
|
Participated in
DataHour: An Introduction to Google Vision API
|
Participated in
DataHour: Dealing with Imbalanced Datasets in ML Classification Problems
|
Participated in
DataHour: Salary Analysis and Prediction Using ML
|
Participated in
DataHour: Understanding Stable Diffusion & Prompt Engineering
|
Participated in
DataHour: Data Wrangling Using Geospatial Data in Python
|
Participated in
DataHour: Visualising Geospatial Data in Python Using Geopandas
|
Participated in
DataHour: Advanced Resume Shortlisting using NLP
|
Participated in
DataHour: Diabetic Patients’ Readmission Prediction using ML
|
Participated in
DataHour: Making Data Pipelines Easy with Dataproc and Composer
|
Participated in
DataHour: No-code ML Hands-on using Orange Data Mining Tool
|
Participated in
DataHour: Deep Dive into Semantic Segmentation- Techniques, Challenges and State-of-the-Art
|
Participated in
DataHour: Introduction to Docker
|
Participated in
DataHour: Data Engineering - Tools and Techniques
|
Participated in
DataHour: Image Classification using Deep Learning Models
|
Participated in
DataHour: Build Apache Nifi using Serverless Cloud Infrastructure
|
Participated in
DataHour: Data Engineering in a Nutshell
|
Participated in
DataHour: Building Efficient Convolution Networks for Image Classification Tasks
|
Participated in
The Young Optimization Crackerjack Contest by IEOR @ IITB & McKinsey Knowledge Centre India
|
Participated in
DataHack Premier League 2018
|
Participated in
WEBINAR: The Importance Of Building The Right Problem Statement In Data Science
|
Participated in
DATA TALES – Beyond Infinity (Round 1: Machine Learning Competition by Great Lakes Institute of Management)
|
Participated in
Data Hack Round 1: Online Quiz (Nirvahana, By iQ’oniQ, NMIMS Hyderabad)
|
Participated in
ABInBev : Data Science Talent Hunt Hackathon
|
Participated in
ABInBev : Data Engineering Talent Hunt Hackathon
|
Participated in
The Ultimate Student Hunt
|
Participated in
Practice Problem: Strategic Thinking II
|
Participated in
Experiments with Data
|
Participated in
Skilltest: Machine Learning
|
Participated in
DataHour: Blockchain 101
|
Participated in
Skilltest: SAS
|
Participated in
Skilltest: Dimensionality Reduction
|
Participated in
#AVdatafest DATAHACK HOUR
|
Participated in
#AVdatafest Webinar: Use of Analytics in Insurance Industry
|
Participated in
Practice Problem: Skilltest - Machine Learning
|
Participated in
DataFest Closing Ceremony
|
Participated in
Webinar: Mission 2020, The future of careers in Machine Learning
|
Participated in
Webinar: Automated Machine Learning using MLBox python package
|
Participated in
Experiments With Data
|
Participated in
Skilltest: Statistics II
|
Participated in
AV Express Online: Kickstart your Data Science career (Webinar)
|
Participated in
#AVdatafest Launch Party & Panel Discussion
|
Participated in
#AVdatafest Keynote Session: By Srikanth Velamakanni, Fractal Analytics
|
Participated in
Webinar on Machine Learning & Advanced Analytics for Smart Cities
|
Participated in
Webinar on AI - The Secret Sauce of Logistics
|
Participated in
Webinar on Information retrieval from unstructured text at scale using advanced deep learning
|
Participated in
AV Learnup - Learn Data Science
|
Participated in
Knocktober 2016
|
Participated in
MiniHack: Machine Learning
|
Participated in
MLWARE 2 - Recommendation Challenge
|
Participated in
Webinar: Future of Big Data & Career Opportunities in Big Data World
|
Participated in
#AVdatafest PowerTool: SQL
|
Participated in
#AVdatafest Webinar on Quantitative Finance & Algorithmic Trading
|
Participated in
#AVdatafest Webinar: Information Discovery & Intelligence Generation in Life Sciences
|
Participated in
#AVdatafest Webinar: Role of Spark in Big Data and Analytics
|
Participated in
Webinar: New Age Skills for New Age Data Scientists
|
Participated in
Fireside Chat with DJ Patil (Delhi NCR)
|
Participated in
AV Casino : Introduction to Probability
|
Participated in
Skilltest: Python for Data Science
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Participated in
Webinar: How to crack Big Data & Data Science Role?
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Participated in
Skilltest: Ensemble Modeling
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Participated in
Skilltest: SQL
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Participated in
#AVdatafest SkillPower: Probability
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Participated in
#AVdatafest Webinar: Use of Analytics in Telecom Industry
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Participated in
#AVdatafest PowerTool: R for Data Science
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Participated in
#AVdatafest Webinar: Tips For Securing Funding For Analytics Start-Up
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Participated in
Skilltest: Linear Regression
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Participated in
Skilltest: NLP
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Participated in
LearnUp at IIT Guwahati
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Participated in
McKinsey Analytics Online Hackathon- Recommendation Design
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Participated in
Webinar on Careers in Artificial Intelligence: How to prepare for the future
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Participated in
New Frontiers In Deep Learning, (Meetup: Bangalore)
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Participated in
Rise of the Machines ( Meetup - Hyderabad)
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Participated in
Webinar: Accelerate Deep Learning Inference using OpenVINO Toolkit
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Participated in
Student DataFest 2018: The Data Supremacy
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Participated in
Black Friday Sales Prediction
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Participated in
Webinar: How to Get Started with Natural Language Processing (NLP)
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Participated in
Webinar: Introduction to TensorFlow with Intel Optimizations
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Participated in
Experiments With Data
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Participated in
Webinar: Deep Learning and its Applications
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Participated in
The Strategic Monk
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Participated in
Skilltest: Tree Based Algorithms
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Participated in
McKinsey Analytics Online Hackathon
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Participated in
Webinar: Build a Recommendation Engine for Retail Data
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Participated in
Predict Number of Upvotes
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Participated in
Skilltest: Clustering
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Participated in
Tredence (SQL Hackathon): Hack and Get Hired
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Participated in
Innoplexus Online Hiring Hackathon: Saving lives with AI
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Participated in
Webinar: Building products in the AI era
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Participated in
Webinar: Problem Solving using AI - The QuantumBlack Story
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Participated in
Webinar: Introduction to Time Series Modeling – A Must-Know Concept for Data Scientists
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Participated in
Webinar: Streaming Analytics - Future of Every Application
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Participated in
Practice Problem: Urban Sound Classification
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Participated in
Time Series Forecasting
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Participated in
Webinar: Problem Solving In Business Analytics and Data Science
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Participated in
Webinar: Business Analytics Isn't Just About Model Building
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Participated in
Age Detection of Actors
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Participated in
Recommendation Engine
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Participated in
JanataHack: NLP Hackathon
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Participated in
Webinar: Getting Started with Recommendation Engines
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Participated in
Webinar : How to Become a Data Scientist in 2019
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Participated in
Janata Hack - Machine Learning Hackathon to support Janata Curfew
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Participated in
Numerolysis (By iQ’oniQ – The Quant, Logic and Analytics Club, NMIMS Hyderabad)
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Participated in
Data & Beyond - IIM Bangalore
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Participated in
MLWARE 1 - Text Mining Challenge
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Participated in
Machine Learning Starter Program Hackathon
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Participated in
Webinar: Business Analytics Vs Data Science
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Participated in
HR Analytics
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Participated in
Webinar: Storytelling using Visualizations
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Participated in
Webinar: Introduction to Recommendation Systems using Deep Learning
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Participated in
Webinar: How to Deploy your ML Model?
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Participated in
Analytics Vidhya Hiring Hackathon
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Participated in
Webinar: An Introduction to Transfer Learning in NLP using HuggingFace
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Participated in
Webinar: Machine learning workflow in Julia
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Participated in
Webinar: Build your first BI Report with Power BI
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Participated in
Webinar: Beyond forecasting and predictions - Using Machine Learning to Control Real-World Systems
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Participated in
Webinar: Securing ML Models in Production
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Participated in
Food Demand Forecasting
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Participated in
Webinar: Data Science vs. Data Engineering - Can you really separate them?
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Participated in
HackLive - Guided Community Hackathon!
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Participated in
Webinar: Need of Industry Exposure in learning and applying the practical aspects of Data Science
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Participated in
Identify the apparels (Fashion MNIST)
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Participated in
Face Counting Challenge
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Participated in
Big Mart Sales Prediction
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Participated in
HackLive 2 - Guided Community Hackathon!
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Participated in
Webinar: ML Model Building & Deployment
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Participated in
Twitter Sentiment Analysis
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Participated in
Joke Rating Prediction
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Participated in
Identify the Sentiments
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Participated in
Webinar: Career Transition Into Data Science
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Participated in
Webinar: Getting Started with Natural Language Processing
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Participated in
DataHour: Learning Path to Master Data Engineering in 2022
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Participated in
DataHour: Artificial Intelligence in Retail
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Participated in
Identify the Digits (MNIST)
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Participated in
Loan Prediction
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Participated in
DataHour: Introduction to Data-driven Decisions
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Participated in
DataHour: Think like a Data Scientist
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Participated in
Panel Discussion: How to Ace DS Competitions?
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Participated in
Data science Career Conclave
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Participated in
Big Break in Big Data: Sapient Talent Hunt for Data Engineers
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Participated in
How to become a job-ready Data Scientist in 2021? Ask the student-mentor duo
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Participated in
Roadmap to become full-stack data professional
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Participated in
Write Powerful Data Science Articles
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Participated in
10 Essential tips for Data Science Authors
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Participated in
DataHour: An Overview of Feature Engineering for Data Science
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Participated in
DataHour: Hands-on Workshop on Feature Engineering
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Participated in
DataHour: Data Science in a FAANG company!
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Participated in
Hack4Retail by McKinsey & Company and Fozzy Group
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Participated in
AmExpert 2021 – Machine Learning Hackathon
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Participated in
DataHour: Effective Feature Engineering for Building Better Models
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Participated in
DataHour: Building smarter solutions with no expertise in machine learning
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Participated in
DataHour: Deploying Deep Learning model to production using FastAPI & Docker
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Participated in
DataHour: Improving Search Results with Semantic Search
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Participated in
DataHour: Efficient Implementations of Transformers
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Participated in
DataHour: Build and Operationalize your Machine Learning Model using Tableau Business Science
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Participated in
DataHour: How to Stay Relevant in the Booming World of AI?
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Participated in
DataHour: Build your first Chat-bot using Open Source Tools
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Participated in
DataHour: Traversing the Journey of an Analytics Problem
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Participated in
DataHour: Create Effective Data Science Notebooks and Communication
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Participated in
DataHour: How to transition into Data Science?
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Participated in
Football Hackathon
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Participated in
Pre-Bootcamp : Experience Live Learning - Perform Data Analysis using SQL!
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Participated in
DataHour: Introduction to Blockchain
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Participated in
DataHour: Introduction to Image Processing using Python
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Participated in
DataHour: Building Scalable, Secure and Responsible AI Solutions in Azure
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Participated in
DataHour: ML oops to MLOps!
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Participated in
DataHour: SQL- One of the Key Ingredients for Data Science
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Participated in
DataHour: Introduction to Network Science
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Participated in
DataHour: Introduction to Tensorflow Javascript
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Participated in
DataHour: Introduction to MLOps
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Participated in
DataHour: Ask Kunal Anything About AI
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Participated in
DataHour: Causal Inference in Practice
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Participated in
DataHour: Writing Reusable and Reproducible Pipelines for Training Neural Networks
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Participated in
DataHour: Introduction to Interpretable Machine Learning
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Participated in
DataHour: Careers in Data Science
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Participated in
DataHour: Data to Insightful Actions with No Code AI
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Participated in
DataHour: Building NLP applications using Hugging Face
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Participated in
Machine Learning Summer Training Hackathon
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Participated in
DataHour: An Introduction and Hands-On to Named Entity Recognition
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Participated in
DataHour: Diving into Blockchain Development
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Participated in
DataHour: Text Pre-processing using NLTK and Python
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Participated in
DataHour: Data Management and AI
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Participated in
DataHour: Voting Dapp Smart Contracts
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Participated in
DataHour: Hands-on with Social Network Analysis
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Participated in
Learn to Build an Artificial Intelligence Model with Kaggle Grandmasters
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Participated in
DataHour: Introduction to Optimization Problems for Data Scientists
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Participated in
DataHour: Deep Dive into Graph Neural Nets for Content NLP
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Participated in
DataHour: Deep Learning - Maths Behind Back-Propagation
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Participated in
DataHour: Hands-on with Data Analysis Expressions(DAX) for Power BI
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Participated in
DataHour: Everything you need to know about Speech Recognition
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Participated in
DataHour: MLOps—DevOps for Machine Learning
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Participated in
DataHour: Feature Engineering on Images using Convolutional Neural Networks(CNN)
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Participated in
DataHour: Building AI Applications in Minutes
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Participated in
DataHour: Real-world Applications of Data science
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Participated in
DataHour: Bias and Fairness in NLP
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Participated in
DataHour: Next Leap - Data Science Adoption to Application
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Participated in
DataHour: Data Modeling Concepts
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Participated in
DataHour: Understanding Search Query
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Participated in
DataHour: Smart Machine Learning Solution Based on Ontology and Knowledge Graph
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Participated in
DataHour: Computer Vision Landscape
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Participated in
DataHour: Making Sense of Clinical Text Data at Scale with NLP
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Participated in
DataHour: Understanding AWS Virtual Private Cloud(VPC) Concepts
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Participated in
DataHour: Analyzing Movie Data using MongoDB
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Participated in
DataHour: Designing an end-to-end Neural Search Pipeline with Similarity Learning
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Participated in
DataHour: Data Visualization using Python
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Participated in
DataHour: Introduction to Explainable AI (XAI)
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Participated in
DataHour: Leveraging GCP Vertex AI for Machine Learning
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Participated in
DataHour: Methods for Explaining the Blackbox of Machine Learning Model
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Participated in
DataHour: Quantum Computing Simulator Acceleration
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Participated in
DataHour: Stirring up Data Science with SQL
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Participated in
DataHour: Prediction to Production in Machine Learning
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Participated in
DataHour: Trees of Data Science
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Participated in
DataHour: Dynamic Time Warping for Time Series Classification
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Participated in
DataHour: Deep Dive into Practical Machine Learning with Career Insights
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Participated in
DataHour: Data Operations on Azure
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Participated in
DataHour: Jumpstart your Career with AWS AI/ML
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Participated in
DataHour: Nirvana State of MLOps
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Participated in
DataHour: Introduction to GAN - A Practical Approach
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Participated in
DataHour: Product Oriented Data Scientists
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Participated in
DataHour: Key steps for Designing Deep Neural Network and its scope in Industry
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Participated in
DataHour: Anomaly detection using NLP and Predictive Modeling
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Participated in
DataHour: Data Science in Retail
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Participated in
DataHour: Data Science Data management using Pandas
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Participated in
DataHour: Mitigating Bias in Machine Learning
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Participated in
DataHour: Google Cloud AI/ML
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Participated in
DataHour: Forecasting Stories
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Participated in
DataHour: Energy Data Science - Project From Scratch
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Participated in
DataHour: Explainable AI - Need and Implementation
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Participated in
DataHour: Getting Started with EDA tools - Numpy and Pandas
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Participated in
DataHour: Practical Applications of Data science in Ecommerce
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Participated in
DataHour: The Fundamentals of Quantum Computing
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Participated in
DataHour: How to tackle Overfitting?
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Participated in
DataHour: Sentiment Analysis from Scratch!
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Participated in
DataHour: Hands-on with A/B Testing
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Participated in
DataHour: Key steps for Designing Artificial Neural Network (ANN) for Image classification
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Participated in
DataHour: Blockchain Use Cases with Case Studies
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Participated in
DataHour: Building Data Pipelines on GCP
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Participated in
DataHour: StableCoin - Backbone of Cryptocurrency
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Participated in
DataHour: ERC Tokens in Hyperledger Fabric
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Participated in
DataHour: An Introduction to AWS EMR
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Participated in
DataHour: Modern Deep Learning Architecture
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Participated in
DataHour: 5 things you should know about Azure SQL
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Participated in
DataHour: Prediction to Production in Machine Learning
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Participated in
DataHour: Everything You Need to Know About Numpy
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Participated in
DataHour: How to Build Interactive Dashboards using Power BI and Excel
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Participated in
DataHour: Introduction To BigQuery ML
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Participated in
DataHour: Overview of Blockchain and Data
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Participated in
DataHour: Using Word & Document Embeddings for Sentiment Analysis
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Participated in
DataHour: Time Series analysis using LSTM
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Participated in
DataHour: How to become the G.O.A.T of Data Science in 2023?
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Participated in
DataHour: AI & ML in the Automotive Industry
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Participated in
DataHour: Topic Modeling using Transformer Based Embeddings
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Participated in
DataHour: ETL Pipelines in GCP
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Participated in
DataHour: Knowledge Graph Solutions using Neo4j
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Participated in
DataHour: Practical Time Series Analysis
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Participated in
DataHour: Building Machine Learning Models in BigQuery
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Participated in
DataHour: ChatGPT and the coming Generative AI Revolution
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Participated in
DataHour: Getting Started with Big Data
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Participated in
DataHour: Key steps for Designing Convolutional Neural Network(CNN) for Image Classification
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Participated in
DataHour: An Introduction to Central Limit Theorem
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Participated in
DataHour: DCNN for Machine RUL Prediction using Time-series Data
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Participated in
DataHour: A Day in the Life of a Data Scientist
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Participated in
DataHour: Classification ML Model from Scratch
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Participated in
DataHour: NLP aspects in Telecommunication Industry
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Participated in
DataHour: Intelligent Knowledge Mining with Azure NLP and Graph databases
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Participated in
DataHour: Visualizing Data using Python
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Participated in
DataHour: Getting Started with AWS EC2
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Participated in
DataHour: Model Guesstimation (MLOps)
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Participated in
DataHour: ML Model Interpretation and Evaluation
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Participated in
DataHour: An Unsupervised ML approach using Clustering
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Participated in
Telstra Innovation Hackathon 2022
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Participated in
DataHour: M in ML stands for Math & Magic
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Participated in
DataHour: Model Parameters vs Hyperparameters - Techniques in ML Engineering
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Participated in
DataHour: Customizing Large Language Models GPT3 for Real-life Use Cases
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Participated in
DataHour: Introduction to Federated Learning
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Participated in
DataHour: Extracting Value from Data
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Participated in
DataHour: Convolution Neural Network for Image Recognition
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Participated in
DataHour: AI in Banking
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Participated in
DataHour: When Airflow Meets Kubernetes - An Introduction to MLOps
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Participated in
DataHour: Data Engineering with Databricks
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Participated in
DataHour: Data Visualization in Data Science
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Participated in
DataHour: Ensemble Techniques in Machine Learning
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Participated in
DataHour: Artificial Intelligence Approach in Stock Market Analysis
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Participated in
DataHour: An Introduction to Measuring Marketing Channel Effectiveness
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Participated in
DataHour: Unfolding Model Evaluation Metrics in Machine Learning
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Participated in
DataHour: AI/ML Era in Customer Experience (CX)
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Participated in
DataHour: From Unstructured Text to Insights - Topic Modeling in NLP using LDA
|
Participated in
DataHour: Introduction to Classification using Azure Machine Learning
|
Participated in
DataHour: Hypothesis Testing A-Z
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Participated in
DataHour: Making AI work for Business
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Participated in
A Practical Approach to Kaggle Competition
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Participated in
DataHour: Master Yourself in Google Analytics
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Participated in
DataHour: How to Approach an ML Problem Statement from Scratch
|
Participated in
DataHour: Diffusion Models for Generative Arts
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Participated in
DataHour: Applications of Optimization in On-demand Food and Grocery Delivery
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Participated in
Skilltest: Deep Learning
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Participated in
DataHour: Netflix Data Analysis using Python
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Participated in
DataHour: Exploratory Data Analysis with F#
|
Participated in
DataHour: The Art of Feature Engineering
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Participated in
DataHour: Product Based Case Studies for Data Science Interviews
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Participated in
DataHour: Causal Experimentations - When A/B Test is Not Possible
|
Participated in
DataHour: An Introduction to the Metaverse
|
Participated in
DataHour: Introduction to Positive Unlabelled(PU) Learning
|
Participated in
DataHour: Document Understanding and OCR using Transformers
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Participated in
DataHour: Introduction and Hands-on workshop with Reinforcement Learning
|
Participated in
DataHour: Using Data Science Methodology to Assess Equity in Communication
|
Participated in
DataHour: Towards Data Storytelling
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Participated in
DataHour: Customer Data Science Models - Retail and CPG
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Participated in
DataHour: Data Science Use Cases
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Participated in
DataHour: Need for Self Supervised Learning - Practice at SAP
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Participated in
DataHour: Road to Data Science
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Participated in
DataHour: Applications of Machine Learning in Self Driving Cars
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Participated in
DataHour: Introduction to Blockchain & Metaverse
|
Participated in
DataHour: Understanding the Basics of a Neural Network
|
Participated in
DataHour: Diving into the field of Data Analytics
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Participated in
DataHour: How to start your Kaggle journey?
|
Participated in
DataHour: Practical Hypothesis Testing
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Participated in
DataHour: Steps before using an ML Model
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Participated in
DataHour: Tokenomics for Beginners
|
Participated in
DataHour: Statistics in Data Science
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Participated in
DataHour: Understanding Dimensionality Reduction
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Participated in
DataHour: NFTs - Friend or FOMO?
|
Participated in
DataHour: Web3 - Benefits, Adoption & Challenges
|
Participated in
DataHour: Data Science Use Cases - Part 2
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Participated in
DataHour: An Empathetic AI for Healthcare
|
Participated in
DataHour: Breakdown of Bitcoin
|
Participated in
DataHour: GANs Revolutionizing the World!
|
Participated in
DataHour: Fundamentals of Blockchain and Cryptocurrencies
|
Participated in
DataHour: Data Warehouse and its importance in Data World
|
Participated in
DataHour: HIV Analysis using ML and Flutter
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Participated in
DataHour: Churn Analytics in Telcos
|
Participated in
DataHour: Introduction to Metaverses and the shift in Marketing Paradigms
|
Participated in
DataHour: An Introduction to Extended Reality (XR)
|
Participated in
DataHour: Predicting Road Quality using AI - An MLOps Demo Pipeline
|
Participated in
DataHour: Python Data Structures
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Participated in
DataHour: Application of ChatGPT and DALL-E
|
Participated in
DataHour: Exploring Heart Disease Data using Python
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Participated in
DataHour: Evaluation Measures for Binary Classification
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Participated in
DataHour: Building & Deploying Deep Learning Models for Sentiment Analysis
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Participated in
DataHour: Natural Language Processing for Indian Languages
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Participated in
DataHour: SQL - Intermediate to Advanced
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Participated in
DataHour: Quantum Computing in Financial Industry
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Participated in
DataHour: Introduction to DAX and Case Study
|
Participated in
DataHour: Big Data Architecture and the Best Practices on AWS
|
Participated in
DataHour: How Data Science is used in Fintech?
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Participated in
DataHour: Transformer Architecture and its Applications
|
Participated in
DataHour: NLP Interaction with Power BI
|
Participated in
DataHour: Introduction to Dimensional Data Modelling
|
Participated in
DataHour: Web 3.0 - Exploring the Unexplored
|
Participated in
DataHour: Distinguishing Bot Text From Human Text Corpus
|
Participated in
DataHour: Visualizing Data with Python
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Participated in
DataHour: Solving BI challenges with Power BI & Automate
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Participated in
DataHour: Bitcoin, Lightning Network and Adoption Trends
|
Participated in
DataHour: Advance SQL - Analytics/Windows Functions
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Participated in
DataHour: Building and Operationalizing an Explainable Predictive Model
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Participated in
DataHour: Demystifying Clustering in Topic Modeling Algorithms like BERTopic
|
Participated in
DataHour: Importance of Statistics in Data Science and Machine Learning
|
Participated in
DataHour: How do Algorithms Generate Recommendations?
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Participated in
DataHour: Classification Algorithms Evaluation Metrics
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Participated in
DataHour: Advanced Exploratory Data Analysis on Credit Data
|
Participated in
DataHour: Conversational AI and its Uses
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Participated in
DataHour: Exploring Multi-label & Multi-class Classification
|
Participated in
DataHour: Normal Distribution - Understanding the Numbers and its Real Life Applications
|
Participated in
DataHour: Ethereum Blockchain & Smart Contracts
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Participated in
DataHour: Train GPT2 on Indian Language Dataset
|
Participated in
DataHour: Cloud Dataproc - Migrate and Optimize Spark Workloads
|
Participated in
DataHour: Power-up Data Insights Leveraging Power BI
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Participated in
DataHour: Emerging Careers in Blockchain, Web3, NFTs and Metaverse
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Participated in
DataHour: Building Cloud Native Data Pipelines
|
Participated in
DataHour: Data Science Career - Myths vs Truths
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Participated in
DataHour: Diabetes Prediction Using Survival Analysis
|
Participated in
DataHour: Data Modelling Demystified
|
Participated in
DataHour: Machine Learning Model Development using Pandas, Numpy and Scikit-Learn
|
Participated in
DataHour: Analyzing Loan Application Data using Python
|
Participated in
DataHour: Transforming Business Challenges into Data Driven Solution
|
Participated in
DataHour: Hyperparameter Optimization Demystified
|
Participated in
DataHour: Get Started with Hadoop
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Participated in
Query Domain Classification
|
Participated in
DataHour: An Introduction to Apache Airflow
|
Participated in
DataHour: An Introduction to Natural Language Processing
|
Participated in
DataHour: Introduction to Optimization using Genetic Algorithms
|
Participated in
DataHour: Data Science for Business - From Theory to Practice
|
Participated in
DataHour: Automate Repetitive Tasks using Excel VBA
|
Participated in
DataHour: Launch Your Career in Data Science
|
Participated in
DataHour: Understanding Logistic Regression
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Participated in
DataHour: Anomaly Detection in Time Series Data
|
Participated in
DataHour: Exploring the Fundamentals of DeepMatch
|
Participated in
DataHour: Building Python Dashboard using Plotly Dash
|
Participated in
DataHour: YOLO Object Detection using Python
|
Participated in
DataHour: Real-time Machine Learning - Challenges and Solution
|
Participated in
DataHour: An Introduction to Big Data Processing using Apache Spark
|
Participated in
DataHour: Training Your First PyTorch Model
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Participated in
DataHour: Google BigQuery - The Modern Cloud Data Warehouse
|
Participated in
DataHour: Understanding ChatGPT and its Use Cases
|
Participated in
DataHour: Deploying Models for Sentiment Analysis on Cloud
|
Participated in
DataHour: Experiments with Interpretable Artificial Intelligence
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Participated in
DataHour: Basic Concepts of Object Oriented Programming in Python
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