1
Getting Started
Course Structure & Outline
Free
About This Series
Free
Setting Expectations
Free
2
Intro to Unsupervised ML
Supervised vs. Unsupervised Learning
Free
Common Unsupervised Techniques
Free
Unsupervised ML Workflow
Free
Feature Engineering
Free
KEY TAKEAWAYS: Intro to Unsupervised ML
Free
QUIZ: Intro to Unsupervised ML
Free
3
Clustering & Segmentation
Introduction
Free
Clustering Basics
Pro
Intro to K-Means
Pro
WSS & Elbow Plots
Pro
K-Means FAQs
Pro
CASE STUDY: K-Means
Pro
Intro to Hierarchical Clustering
Pro
Anatomy of a Dendrogram
Pro
Hierarchical Clustering FAQs
Pro
KEY TAKEAWAYS: Clustering & Segmentation
Pro
QUIZ: Clustering & Segmentation
Pro
4
Association Mining & Basket Analysis
Introduction
Pro
Association Mining Basics
Pro
The Apriori Algorithm
Pro
Basket Analysis Examples
Pro
Minimum Support Thresholds
Pro
Infrequent Itemsets
Pro
Multiple Item Sets
Pro
CASE STUDY: Apriori
Pro
Markov Chains
Pro
CASE STUDY: Markov Chains
Pro
KEY TAKEAWAYS: Association Mining
Pro
QUIZ: Association Mining
Pro
5
Outlier Detection
Introduction
Pro
Outlier Detection Basics
Pro
Cross-Sectional Outliers
Pro
Cross-Sectional Outlier Example
Pro
CASE STUDY: Cross-Sectional Outlier
Pro
Time-Series Outliers
Pro
Time-Series Outlier Example
Pro
KEY TAKEAWAYS: Outlier Detection
Pro
QUIZ: Outlier Detection
Pro
6
Dimensionality Reduction
Introduction
Pro
Dimensionality Reduction Basics
Pro
Principle Component Analysis
Pro
PCA Example
Pro
Interpreting Components
Pro
Scree Plots
Pro
Advanced Techniques
Pro
KEY TAKEAWAYS: Dimensionality Reduction
Pro
QUIZ: Dimensionality Reduction
Pro
7
Course Feedback & Next Steps
Series Conclusion
Pro
Course Feedback Survey
Pro
Share the Love
Pro
Next Steps
Pro