This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.

Notes and Assignments for Andrew Ng's Machine Learning - Python3 code

This is the Python implementation of the programming assignments in Andrew Ng's online machine-learning course.

Python implementation of Andrew Ng's ML course projects

吴恩达《机器学习》课后习题 Python 版 These are Exercises for Coursera's MachineLearning (by Andrew Ng) by Python.

Andrew Ng: Machine Learning - Assignments in Python

machine learning code, based on CS229 in stanford.

Coursera Machine Learning ( Standford University ) Programming Assignment solutions

Implementation of Andrew Ng's Machine Learning Tutorial

Asignatura Optativa de Aprendizaje Automatico (AA)

This project contains the solution to all the programming assignment of Prof. Andrew NG's Machine Learning course on Coursera. All the solution are written in python, the directory structure, file names and program flow is kept almost same as the Octave one. There is a .py file corresponding to every .m file in the assignement

general deep neural network with L layers model built from scratch with python numpy. coded as a practice on Deep Learning Specialization first course by Andrew Ng.

A Binary Classification From Scratch, very simple algorithm to classify simple data

Various ML models built from scratch as an implementation for the Stanford's Andrew Ng intro ML course

Machine learning notes from Andrew Ng, coursera version and Standford version