AndrewNG - Machine Learning Course (Stanford) exercises

This repository contains the HW problems, Notes and practice programs that I wrote while taking the specialization taught by Andrew NG on coursera

This repo contains solutions for the exercises under Machine Learning Course taken by Prof. Andrew Ng.

This repo contains the solutions to Andrew NG course on Machine Learning on Coursera in python.

🤖️Coursera Machine Learning Assignments

my projects and program in AI

This repo consists of the three courses' Lab files and assignments.

ML with Python By IBM and ML by Andrew Ng - MATLAB

These are the solutions to the programming assigments from Andrew Ng's "Machine Learning" course from Coursera

Octave prototype to train and implement Linear Regression algorithm along with some important insights.

This Dataset has five features which are Petal Length, Petal Width, Sepal Length, Sepal Width and Species Type.And analysis is done on the dataset.

Repository cataloging assignment codes for Machine Learning MOOC by Andrew Ng

Machine learning Using MATLAB

Implementing the feedforward/backpropagation algorithm and for a 2 later neural network and applying it to the MNIST dataset.

吴恩达ml代码（改进）

🎓 Collection of my lecture notes and assignments for the Coursera Machine Learning taught by Andrew Ng.

A collection of notes and implementations of machine learning algorithms from Andrew Ng's machine learning specialization.

Exercises and their solutions covered in the Machine Learning Course by Andrew Ng

ML-Regression-Classification-Tasks Welcome to my GitHub repository, showcasing my work in the "Supervised Machine Learning: Regression and Classification" course by DeepLearning.AI and Stanford University. Explore my task implementations, model building, and regression/classification projects.

زیرنویس فارسی دوره یادگیری ماشین AndrowNg