Machine Learning Path

Linear Regression

Linear Regression with One Variable [1]
Prerequisite Linear Algebra Review [1]
Linear Regression with Multiple Variables [1]
Linear Regression – Assessing Performance [2]
Ridge Regression [2]
Feature Selection & Lasso [2]
Nearest Neighbors & Kernel Regression [2]

Logistic Regression [1]

Linear Classifiers & Logistic Regression [3]
Learning Linear Classifiers [3]

Regularization [1]

Overfitting & Regularization in Logistic Regression [3]

Decision Trees [3]

Preventing Overfitting in Decision Trees [3]

Support Vector Machines [1]

Boosting (Ensemble Learning) [3]

Adaboost
Random Forest

Unsupervised Learning [1]

Clustering

Nearest Neighbor Search [4]
Clustering with k-means [4]
Mixture Models [4]
Mixed Membership Modeling via Latent Dirichlet Allocation [4]
Hierarchical Clustering & Closing Remarks [4]

Dimensionality Reduction [1]

PCA

Supplementaries

Handling Missing Data [3]
Precision-Recall [3]

Large Scale Machine Learning [1]

Scaling to Huge Datasets & Online Learning [3]

Applications

Anomaly Detection [1]
Recommender Systems [1]

References