SciTech-BigDataAIML-Machine Learning Tutorials

Machine Learning Tutorials

Machine Learning Tutorials

This page lists all of the machine learning tutorials available on Statology.

Introduction to Machine Learning

Supervised vs. Unsupervised Learning

Regression vs. Classification Algorithms

The Bias-Variance Tradeoff

Linear Regression

Simple Linear Regression (R, Python)

Multiple Linear Regression (R, Python)

Classification

Logistic Regression (R, Python)

Linear Discriminant Analysis (R, Python)

Quadratic Discriminant Analysis (R, Python)

How to Assess Model Fit

What is Overfitting?

Leave-One-Out Cross-Validation (R, Python)

K-Fold Cross-Validation (R, Python)

Model Selection

Best Subset Selection

Stepwise Selection (R)

Regularization

Ridge Regression (R, Python)

Lasso Regression (R, Python)

Dimension Reduction

Principal Components Regression (R, Python)

Partial Least Squares (R, Python)

Advanced Regression Models

Polynomial Regression (R, Python)

Multivariate Adaptive Regression Splines (R, Python)

Tree-Based Methods

Classification and Regression Trees (R)

Bagging (R)

Random Forests (R)

Boosting (R)

Unsupervised Learning

Principal Components Analysis in R

K-Means Clustering in R

K-Medoids Clustering in R

Hierarchical Clustering in R