MachineLearning_Ng and Machine-Learning-Andrew-Ng

MachineLearning_Ng
50
Established
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 24/25
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 23/25
Stars: 272
Forks: 108
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: AGPL-3.0
Stars: 213
Forks: 69
Downloads:
Commits (30d): 0
Language: MATLAB
License: MIT
Stale 6m No Package No Dependents
Stale 6m No Package No Dependents

About MachineLearning_Ng

HuangCongQing/MachineLearning_Ng

吴恩达机器学习coursera课程,学习代码(2017年秋) The Stanford Coursera course on MachineLearning with Andrew Ng

This project provides the practical code implementations and course notes for Andrew Ng's foundational machine learning course on Coursera. It helps students understand core machine learning algorithms by providing working examples. Learners can follow along with the course content, examine how algorithms like linear regression, neural networks, and k-means clustering are built, and apply these concepts.

Machine Learning Education Data Science Learning Algorithm Implementation Supervised Learning Unsupervised Learning

About Machine-Learning-Andrew-Ng

callmekeyboardman/Machine-Learning-Andrew-Ng

机器学习-Coursera-吴恩达- python+Matlab代码实现

This project provides practical, hands-on examples for learning machine learning algorithms. It includes Matlab code implementations for various concepts, from linear regression to neural networks and anomaly detection. Aspiring data scientists, engineers, or researchers who are learning machine learning fundamentals will find these code examples beneficial for understanding how algorithms work.

machine-learning-education algorithm-implementation data-science-fundamentals engineering-analysis computational-learning

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