ML-Models-from-Scratch

Linear Regression Implementation From Scratch

Code implements linear regression from scratch in python. Uses numpy for Scientific calculation & matplotlib for Plotting the Graph.

Implements single feature linear regression on data. Sample Dataset Used is from kaggle

Logistics Regression Implementation From Scratch

Code implements Logistics regression from scratch for multiple Feature. Dataset used is from Scikit Learn Library -> Breast Cancer Dataset Feature Normalisation is applied on data It Gets 98% right answer on Test Set.

SVM from scratch

Code implements SVM with stochastic gradient descent with Multiple features. Dataset used is like an example. Main Model returns Modified weights Inspired from Siraj Raval's Video.

Simple Neural Net with 2 layers from scratch.

Implemented Simple Neural Net with 2 layers by just using Numpy.

Simple NN on MNIST dataset

Implemented Simple NN on MNIST dataset using tensorflow. MNIST dataset is taken from Kaggle Competition.