Learn how to structure a business problem as an ML problem, and then go on to build, select and evaluate the right model. This workshop is designed to help learn how to apply machine learning to business problems. Real-life case studies are used to teach the various algorithms and techniques. The focus will be on applications, rather than on exposition of the various algorithms. The workshop is divided into following major modules:

Prerequisites Applied ML

• Knowledge of Python Programming
• Have experience working in pandas and jupyter notebooks

Structure of the workshop

This is an 8-hour workshop and includes the following modules:

• Module 0: Introduction
  • What is Machine Learning
  • Types of ML: Supervised, Unsupervised, Reinforcement
  • Types of ML problems: Regression, Classification
• Module 1: Linear Models
  • Linear Regression
  • Logistic Regression
• Module 2: Model Evaluation
  • Training and Validation Model
  • Evaluation Metrics – Accuracy, RMSE, ROC, AUC, Confusion Matrix, Precision, Recall, F1 Score
  • Overfitting and Bias-Variance trade-off
  • Regularization (L1/L2)
  • K-fold Cross Validation
• Module 3: Tree-based Models
  • Decision Trees
  • Bagging and Boosting
  • Random Forest
  • Gradient Boosting Machines
  • Feature Importance
• Module 4: Model Selection
  • Model Pipelines
  • Feature Engineering
  • Ensemble Models (Advanced)
  • Unbalanced Classes (Advanced)

Make sure you don’t miss this applied machine learning workshop to initiate your data science journey! Get your tickets today to access this full day session.

INSTRUCTORS

BARGAVA SUBRAMANIAN

Bargava Subramanian is a practicing Data Scientist. He has 14 years of experience delivering business analytics solutions to Investment Banks, Entertainment Studios and High-Tech companies. He has given talks and conducted workshops on Data Science, Machine Learning, Deep Learning and Optimization in Python and R. He has a Masters in Statistics from University of Maryland, College Park, USA. He is an ardent NBA fan.

AMIT KAPOOR

Amit Kapoor teaches the craft of telling visual stories with data. He conducts workshops and trainings on Data Science in Python and R, as well as on Data Visualisation topics.

His background is in strategy consulting having worked with AT Kearney in India, then with Booz & Company in Europe and more recently for startups in Bangalore. He did his B.Tech in Mechanical Engineering from IIT, Delhi and PGDM (MBA) from IIM, Ahmedabad.

Duration of Workshop: 8 hours

Venue: Great Learning, Plot No. 758 – 759, 1st Floor, 19th Main Rd, Sector 2, HSR Layout, (Near Sri Sai Mandir), Garden Layout, Sector 2, HSR Layout, Bengaluru, Karnataka 560102 (Maps)

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