Machine Learning

Supervised, unsupervised learning, and model evaluation

3 chapters 12 lessons 128 min total

ML Foundations

4 lessons · 40 min
FREE
What is Machine Learning
Types of ML: supervised, unsupervised, reinforcement
10 min FREE
Data Preprocessing
Cleaning, normalization, and feature engineering
12 min FREE
Train-Test Split
Validation strategies and cross-validation
8 min
Evaluation Metrics
Accuracy, precision, recall, F1, and AUC
10 min

Supervised Learning

5 lessons · 56 min
5 credits
Linear Regression
Predicting continuous values
12 min
Logistic Regression
Binary classification fundamentals
10 min
Decision Trees
Tree-based models and information gain
12 min
Random Forests
Ensemble methods and bagging
10 min
Support Vector Machines
Maximum margin classifiers
12 min

Unsupervised Learning

3 lessons · 32 min
5 credits
K-Means Clustering
Partitioning data into groups
10 min
Hierarchical Clustering
Dendrograms and agglomerative methods
10 min
PCA and Dimensionality Reduction
Reducing features while preserving variance
12 min