Implemetations of Machine Learning Algorithms

This repository is my collection of implementations for various machine learning algorithms.

So far I have implemeted the following algorithms:

Supervised Learning
- K-nearest neighbors
- Linear Regression with exact solution
- Linear Regression with Gradient Descent
- Logistic Regression with Gradient Descent
- Naive Bayes
- Linear Discriminant Analysis
- Hard Margin SVM by Primal Formulation

Unsupervised Learning
- GMM
- DBSCAN
- Spectral Clustering
- T-SNE
- MDS

Deep Learning
- Dense Network with Activations