Vanilla Machine Learning Models

This repo contains the vanilla basic machine learning models built with just python and numpy. The goal is to:

• build a ML workflow and pipeline with data driven approach (train/predict stages)
• understand the train/val/test splits and the use of validation data for hyperparameter tuning
• develop proficiency in writing vectorized numpy codes
• implement basic machine learning models from scratch.

ML models

• Linear Regression

ML models with reference to CS231n: Convolutional Neural Networks for Visual Recognition

• KNN
• SVM
• Softmax
• Two Layer Neural Network

Download CIFAR 10 dataset Here