https://github.com/shilpakancharla/machine-learning-tutorials

Machine Learning (STOR 565)
https://github.com/shilpakancharla/machine-learning-tutorials

Last synced: 3 months ago
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Machine Learning (STOR 565)

• Host: GitHub
• URL: https://github.com/shilpakancharla/machine-learning-tutorials
• Owner: shilpakancharla
• License: mit
• Created: 2018-03-13T20:03:58.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2018-06-24T06:41:32.000Z (over 7 years ago)
• Last Synced: 2025-03-13T05:30:28.952Z (7 months ago)
• Language: R
• Homepage:
• Size: 593 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Outline of Machine Learning Methods

## Linear Regression

### Linear Regression in Low Dimensions

- Least Squares Regression

- Validation Set Approach

- Cross Validation

### Linear Regression in High Dimensions

- Variable Pre-Selection

- Forward Stepwise Regression

- Ridge Regression

- LASSO Regression

- Principal Components Regression

- Partial Least Squares

## Classification

- Logistic Regression (can be extended to the following listed below)

  - Variable Pre-Selection

  - Forward Stepwise Logistic Regression

  - Ridge Logistic Regression

  - LASSO Logistic Regression

  - Principal Components Logistic Regression

- Linear Discriminant Analysis (LDA)

- Quadratic Discriminant Analysis (QDA)

- K-Nearest Neighbors Classification (KNN)

- Support Vector Machines (SVM)

## Nonlinear Methods

- Polynomial Regression

- Basis Expansion

- Splines

- Generalized Additive Models

## Tree-Based Methods

- Classification Trees

- Regression Trees

- Bootstrap

- Bagging

- Boosting

- Random Forests

## Unsupervised Learning

- Cluster Analysis

- Dimension Reduction