Topics

Duration

32 Weeks

Progress

0/20

Learning Progress0%

AI Roadmap

Unsupervised Learning

Learning Path

Follow these concepts in order to master this topic.

What is Unsupervised Learning?

When to Use Unsupervised Learning

Clustering vs Classification

K-Means Clustering

Choosing the Number of Clusters

Hierarchical Clustering

DBSCAN

Dimensionality Reduction

Principal Component Analysis (PCA)

t-SNE Basics

Anomaly Detection

Association Rule Learning

Customer Segmentation

Recommendation Systems Basics

Real-World Applications

Documentation

Official documentation and references.

Scikit-learn Unsupervised Learning

Recommended

Clustering - Scikit learn

Dimensionality Reduction - Scikit learn

Video Courses

Unsupervised Machine Learning

1h 18m

K-Means

PCA Explained

Practice Websites

Practice what you've learned.

Kaggle learn

OpenML

UCI Machine Learning Repository

Projects

Apply what you've learned by building real projects.

Customer Segmentation with K-Means

Beginner

Movie Recommendation Prototype

Intermediate

Network Intrusion Anomaly Detection

Advanced