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.
- 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