Machine Learning Zero-To-Hero

About

Python implementations from scratch of some of the fundamental Machine Learning models and algorithms. The purpose of this project is to present the inner workings of the algorithms in a transparent way.

Table of contents

• Machine Learning from Scratch
  • About
  • Table of Contents
  • Installation
  • Implementations
    • Supervised Learning
    • Unsupervised Learning
    • Reinforcement Learning
    • Deep Learning
  • Examples

Installation

Implementations

Supervised Learning

• Linear models:

  • Ordinary least squares
  • [Ridge regression]
  • [Ridge classifier]
  • [Lasso]
  • [Bayesian regression]
  • Softmax regression
  • [Generalized linear models]
  • [Stochastic gradient descent]
  • [Perceptron]
  • [Passive aggressive algorithms]
  • [Robustness regression]
  • [Quantile regression]
  • [Polynomial regression]

Unsupervised Learning

Reinforcement Learning

Deep Learning

• Neural Network

Examples

• [Least squares: ordinary and weighted]
• [Linear classifiers: logistic regression and ridge classifier]