Machine Learning Models

This repository contains implementations of some machine learning algorithms from scratch on real world data, which I wrote while learning the same. Each algorithm includes the code file and the data on which it was applied along with various metrics to evaluate the model.

List of algorithms included in the repository:

• Bayesian Classifier
• Gaussian Mixture Models
• Principal Component Analysis
• Hidden Markov Model
• k-Nearest Neighbours
• k-Means Clustering
• Logistic Regression
• Linear Regression
• Polynomial Regression
• Hierarchical Clustering
• Decision Trees
• Random Forests
• Fisher's Linear Discriminant
• t-Distributed Stochastic Neighbour Embedding