MachineLearning_Ng and Machine-Learning-Andrew-Ng

MachineLearning_Ng
50
Established
Machine-Learning-Andrew-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 24/25
Stars: 272
Forks: 108
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: AGPL-3.0
Stars: 266
Forks: 105
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

SrirajBehera/Machine-Learning-Andrew-Ng

Full Notes of Andrew Ng's Coursera Machine Learning.

This resource provides comprehensive notes and materials for Andrew Ng's popular Machine Learning course. It distills complex concepts like hypothesis functions, cost functions, and gradient descent into understandable explanations, often accompanied by code snippets and visual aids. Students and self-learners looking to grasp the foundational principles of machine learning would find this extremely beneficial.

Machine Learning Education Data Science Fundamentals Algorithm Understanding Academic Study Aid Model Training Concepts

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