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MachineLearning-Algorithms

This repository contains implementations of several common machine learning algorithms in Python.

Algorithms

The following algorithms are implemented:

  • K-Nearest Neighbors (KNN)
  • Linear Regression
    • Normal Equation
    • Gradient Descent
  • Logistic Regression
    • NumPy implementation
    • PyTorch with Autograd implementation
  • Multilayer Perceptron (Neural Network)

Usage

Each algorithm has its own file with a class implementation and example usage. The implementations also include k-fold cross validation on a sample dataset. Results are plotted and analyzed. See individual files for details on specific algorithms, datasets used, and cross validation results.