吴恩达老师的机器学习课程个人笔记

Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.

I took Andrew Ng's Machine Learning course on Coursera and did the homework assigments... but, on my own in python because I love jupyter notebooks!

Python programming assignments for Machine Learning by Prof. Andrew Ng in Coursera

coursera吴恩达机器学习课程作业自写Python版本+Matlab原版

use numpy, scipy, and tensorflow to implement these basic ML model and learning algorithm

Programming assignments and quizzes from all courses within the Machine Learning Engineering for Production (MLOps) specialization offered by deeplearning.ai

Machine Learning with Coursera

Contains all course modules, exercises and notes of ML Specialization by Andrew Ng, Stanford Un. and DeepLearning.ai in Coursera

Coursera Specialization: Machine Learning and Data Analysis (Yandex & MIPT)

Code of the solutions of the Mathematics for Machine Learning course taught in Coursera.

[Course-2020-2023] taught at Duke MIDS. This is also a Coursera Course that covers MLOps, ML Engineering and the foundations of Cloud Computing for Data Science.

Andrew Ng's Coursera ML coding exercises and notes

https://github.com/fengdu78/Coursera-ML-AndrewNg-Notes.git

Material and note of the course of Applied ML in Python

My solutions for programming assignments from the Machine Learning course at coursera.org.

Completed assignments from Coursera Machine Learning course - March 2014

Andrew Ng ML Specialization Labs and Exercises. This repo contains the unsolved versions of the exercises. Feel free to fork this repo if you'd like to follow along

吴恩达机器学习公开课作业中文版本以及Python实现

In this repository, I upload my 100 Days ML Code which I have learned from different courses(Coursera, udemy, edx, udacity), different websites blogs, different tutorials from YouTube, books, and research papers. And this code is basically Siraj Raval’s 100 Days of ML Code Challenge! Which I completed in 100 days from November 2018 to February 2019. On the basis of my past one and half years of experience, I have done different projects in 100 Days related to Machine Learning, Deep Learning, Computer Vision, Natural Language Processing.

This repository contains all the programming exercises in Python for the Coursera course called "Machine Learning" by Adjunct Professor Andrew Ng at Stanford University.

The assignment code for Coursera by Ng's ML course

Implementation of the Coursera ML course in Rust

Machine Learning by Stanford University. Programming assignments.

Python framework for Coursera PGM and ML homeworks

Репозиторий с материалами и заданиями по Специализации от Яндекса и МФТИ на Coursera "Машинное обучение и анализ данных"

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Python solutions to Andrew Ng's ML course.

For study purpose only

This repository contains all my implemented Machine Learning projects. All my learning from different coursera ML courses and internet are reflected here.