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

This repository store my lecture notes-and-home work solutions for cs229 machine learning course standford

Machine learning problem sets from Stanford University's Machine Learning course on Coursera

Lecture slides and course materials for Standford's CS 329S: Machine Learning Systems Design

Classic Machine Learning material from Andrew Ng. Matlab and Octave codes for assignments and optional exercises.

Updated Solutions and Implementations for Standford's CS229 Machine Learning

Solution to Andrew Ng's Machine Learning at Coursera.

Machine Learning is a wide range field, which mainly includes the following four parts: Supervised Learning, Unsupervised Learning, Weakly Supervised Learning and Reinforcement Learning. Also, deep learning is a sub-field of machine learning. Knowing what machine learning includes, understanding the mathematical principles and implementation details of these contents, and learning the specific ideas behind them are far more important than just calling python libraries to solve certain tasks. I have been playing machine learning for more than 2 years, including taking various machine learning-related courses and completing machine learning-related tasks. These courses include: Standford MachineLearning course , Coursera DeepLearning course taught by Andrew Ng; SJTU CS420 Machine Learning course and CS410 Artificial Intelligence course; CSDN machine learning course taught by Shunxiang Liu. The machine learning-related books I have read include: Professor Zhou Zhihua’s "machine learning book" (watermelon book), Ian Goodfellow's "Deep Learning" book (flower book) and Francois Chollet's "Deep Learning with Python". They are all very helpful to me. The machine learning related projects (codes and their corresponding description, reports) are also included in this repository. In short, this repository contains a lot of content, and I hope it can be helpful to you.

Machine Learning Standford Course by Andrew Ng

Coursera Andrew Ng's Machine Learning Course.

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Coursera Machine Learning class from Andrew Ng

Here we will look into the labs and code in stanford machine learning course

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The matlab code in learning machine learning.

This repository will hold all my code submissions for assignments for the coursera course: Machine Learning by Andrew Ng. Course Link: https://www.coursera.org/learn/machine-learning

Machine Learning by standford university

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Here are the notes to Standford's CS229 Machine Learning Specialization course by Dr. Andrew Ng

This is a repository of my coursera Machine Learning by Standford, Andrew NG course's assignments' solution This is all written in matlab. The datasets are also uploaded with the exercises

Machine Learning from Standford University by Coursera

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Coursera Andrew Ng Machine Learning

Machine learning course on Coursera, by Andrew Ng from Standford University.

Machine Learning Course

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