The A to Z of Unsupervised ML
IntermediateLevel
1 hrs 0 minsDuration
About this Course
- Unsupervised ML reveals hidden patterns in data, vital for exploratory analysis and discovering relationships without labeled examples.
- Mastering unsupervised techniques boosts data preprocessing and insights in complex datasets with scarce labels
- Gain hands-on experience with exercises to apply unsupervised ML concepts and build real-world models.
Learning Outcomes
Exploratory Data Analysis
Utilize unsupervised learning to perform in-depth data analysis.
Master Unsupervised ML
Learn unsupervised techniques to reduce complexity.
Hands-On Learning
Engaging exercises to apply unsupervised ML concepts to real-world.
Who Should Enroll
- Professionals: Expand your skill set and apply unsupervised learning in diverse industries for better insights.
- Aspiring Students: Begin your machine learning journey and build a strong foundation for a career in tech
- Tech Enthusiasts: Dive into the world of unsupervised learning and explore its real-world applications across fields.
Course Curriculum
Explore a comprehensive curriculum covering Python, machine learning models, deep learning techniques, and AI applications.
1. Resources to be used in this course.
2. Setting the Context
3. Choosing Clustering Algorithms
4. Solving our Problem using k-means - Part 1
5. Solving our Problem using k-means - Part 2
6. Finding optimal K valuel
7. Analysis and Insights Based on the Plots
8. Introduction to Hierarchical Clustering Analysis (HCA)
9. Solving our Problem using Hierarchical Clustering
10. Introduction to DBSCAN Clustering", "Solving our Problem using DBSCAN
11. Reading: Applications of Clustering in the Real World
12. Project Hands On
Get this Course Now
With this course you’ll get
- 60 hour
Duration
- Apoorv Vishnoi
Instructor
- Intermediate
Level
Certificate of completion
Earn a professional certificate upon course completion
- Globally recognized certificate
- Verifiable online credential
- Enhances professional credibility
Frequently Asked Questions
Looking for answers to other questions?
Unsupervised machine learning helps uncover hidden patterns and structures in data without labeled examples. It is essential for exploratory data analysis, reducing dimensionality, and discovering intrinsic relationships within datasets. Mastering unsupervised techniques enhances data preprocessing and drives insights in complex datasets where labels are scarce or unavailable.
This course is free of cost.
The course will teach you how to use unsupervised learning to explore data, identify patterns, and visualize relationships between features, making it easier to gain insights from complex datasets.
Yes, the course covers how unsupervised techniques can be used in feature engineering, especially when it comes to transforming or creating features that can enhance the performance of machine learning models.
Unlike supervised learning, which uses labeled data to train models, unsupervised learning works with unlabeled data to identify patterns, clusters, and hidden relationships without the need for predefined labels.x
Related courses
Expand your knowledge with these related courses and expand way beyond
1 Hours6 Lessons4.6
Getting Started with Large Language Models
0 Hours1 Lessons4.8
Navigating LLM Tradeoffs: Techniques for Speed, Cost, Scale & Accuracy
1 Hours6 Lessons4.5
Framework to Choose the Right LLM for Your Business
Popular Categories
Discover our most popular courses to boost your skills
Popular free courses
Discover our most popular courses to boost your skills
Contact Us Today
Take the first step towards a future of innovation & excellence with Analytics Vidhya
Unlock Your AI & ML Potential
Get Expert Guidance
Need Support? We’ve Got Your Back Anytime!
+91-8068342847 | +91-8046107668
10AM - 7PM (IST) Mon-Sun[email protected]
You'll hear back in 24 hours