aryankargwal / algorica

A repo to consolidate the code and logic behind all the major ML algorithms.

algorica

An attempt to consolidate all the ML algorithms (atleast what I can think of) with their code and the logic behind them just for learning sake.

Functions->

Activation Functions

• Sigmoid
• TanH
• ReLU
• Leaky ReLU
• Parametric ReLU
• Softmax
• Swish

Regression Algorithms

• Linear Regression
• Logistic Regression
• Stepwise Regression

Instance Based Algorithms

• k-Nearest Neighbor
• Locally Weighte Learning
• Suport Vector Machines

Decision Tree Algorithms

• Classification and Regression Tree
• Decision Stump
• Conditional Decision Tree

Bayesian Algorithms

• Naive Bayes
• Gaussian Naive Bayes
• Multinomial Naive Bayes
• Bayesian Network

Clustering Algorithms

• k-Means
• k-Medians
• Heirarchial Clustering

Artificial Neural Network Algorithms

• Perceptron
• Multilayer Perceptrons
• Back-Propagation
• Stochastic Gradient Descent
• Hopfield Network

Resources

ML India Algorithm Cheatsheet- Click here