Machine-Learning-AndrewNg-DeepLearning.AI and MachineLearning_Ng

Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 24/25
Stars: 352
Forks: 186
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: Apache-2.0
Stars: 272
Forks: 108
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: AGPL-3.0
Stale 6m No Package No Dependents
Stale 6m No Package No Dependents

About Machine-Learning-AndrewNg-DeepLearning.AI

azminewasi/Machine-Learning-AndrewNg-DeepLearning.AI

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

This specialization helps aspiring AI practitioners master fundamental machine learning concepts and build practical skills. It takes learners from basic data and problems to functional models for prediction, classification, and recommendation. It's designed for anyone looking to start a career in machine learning or apply AI techniques to real-world problems.

AI-education data-science-training predictive-modeling recommendation-systems career-transition

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

Scores updated daily from GitHub, PyPI, and npm data. How scores work