coursera-machine-learning

A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2021 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques!

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

Coursera Machine Learning - Python code

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

This is Andrew NG Coursera Handwritten Notes.

Coursera specializations road map for computer science students.

Coursera Machine Learning By Prof. Andrew Ng

Python implementation of the programming assignment from Machine Learning class on Coursera, which is originally implemented in Matlab/Octave.

This is about learning courses in Coursera. All the answers given written by myself

Projects and useful articles / links

My lecture notes and assignment solutions for the Coursera machine learning class taught by Andrew Ng.

This is a repository of my coursera Machine Learning by Standford, Andrew NG course's assignments

Awesome list (courses, books, videos etc.) and implementation of Machine Learning Algorithms

Hand Written course notes of Deep Learning Specialization by Andrew NG on Coursera

This repository contains the code for all the programming tasks of the Mathematics for Machine Learning courses taught at Coursera by Imperial College London

Programming assignments from Coursera's Machine Learning(by Stanford University) course taught by Andrew Ng.

I have completed this specialization from Coursera by deeplearning.ai. I have uploaded the solutions of the assignments in this repo.

[WIP] In this repository I implemented all assignments in python. (No octave to python library)

Repository with the programming assignments from Introduction to Machine Learning Course of Duke University on Coursera.

This is the solution of the "Mathematics for Machine Learning Specialization" made by Coursera

Bayesian Methods for Machine Learning

This is a course provided by Coursera

Applied Data Science with Python Specialization: University of Michigan

NG深度学习机器学习Coursera视频作业

My Assignment Submission made during the course 📙

This repo is for ML Specialization through UW on Coursera

Stanford's Machine Learning Exercises

A study recording of Coursera's Machine Learning by Andrew Ng, but added some practices for reinforceing learning.

This special repo will help any user, walk-through the assignments and quizzes -- related to a top-rated Coursera course on MACHINE LEARNING Fundamentals, sponsored by 'GOOGLE CLOUD'