ML From Scratch

This repository contains implementations of machine learning algorithms from scratch.

Structure

data/: Central Data Storage
autograd/: Scalar-based Engine (Value class, Neuron/Layer logic)
tensor_autograd/: Tensor-based Engine (supports @ matmul, .T transpose, and multidimensional gradients)
trees/: Tree-based Models (Decision Tree, Random Forest, XGBoost)
linear_models/: Linear Regression, Logistic Regression, SVM
unsupervized/: Singular Value Decomposition (SVD) and Data Compression
probabilistic/: MCMC/Sampling
utils/: Shared Helpers

pip install -r requirements.txt