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.

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

• Linear Regression
• Logistic Regression
• Stepwise Regression

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

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

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

• k-Means
• k-Medians
• Heirarchial Clustering

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

ML India Algorithm Cheatsheet- Click here