Large Scale Machine/Deep Learning library for Python

Hands-on AI & ML guide: from tensors to neural networks, with code, formulas, and model evaluation.

Animating how Adaline classification works by minimizing cost. Showing comparison of three kinds of gradient descent.

How to build a simple neural network from scratch using Numpy and linear algebra without relying on high-level libraries like TensorFlow or Keras.

Generalized local search tool

Linear regression and Normal equation implementation of predicting the life expectancies in different countries.

Practice on ML Specialization by Deeplearning.ai

This repository contains numpy implementations of different ML Algorithms

Multiclass Logistic, Classification Pipeline, Cross Validation, Gradient Descent, Regularization

Uses Matrix factorisation on a sparse matrix to predict the missing values of rating of movies by users using stochastic and batch gradient descent.

Predicting House Sale Prices with Machine Learning

Step-by-Step Guide to an Optimization Problem Solver in Scala

Rust implementation of the Adaline artificial neural network algorithm for educational purposes.