CourseraMachineLearning and Machine-Learning-Andrew-Ng

These are **competitors** — both are independent repositories of solutions and notes for the same Coursera Machine Learning course, offering alternative ways to study the same material rather than features that work together.

CourseraMachineLearning
51
Established
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: 765
Forks: 307
Downloads:
Commits (30d): 0
Language: MATLAB
License: MIT
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 CourseraMachineLearning

vkosuri/CourseraMachineLearning

Coursera Machine Learning By Prof. Andrew Ng

This is a comprehensive resource for the Coursera Machine Learning course by Prof. Andrew Ng. It provides an organized collection of video lectures, programming exercise tutorials, test cases, and additional learning materials. It's intended for individuals learning foundational machine learning concepts, from linear regression to neural networks.

machine-learning-education data-science-training predictive-modeling-fundamentals algorithm-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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