Machine-Learning-Specialization-Coursera and Machine-Learning-Andrew-Ng

These are competitors—both provide solutions and notes for Andrew Ng's machine learning courses on Coursera, serving the same purpose of course completion assistance with overlapping content coverage.

Maintenance 6/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 24/25
Stars: 7,109
Forks: 3,602
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stars: 266
Forks: 105
Downloads:
Commits (30d): 0
Language: MATLAB
License: MIT
No Package No Dependents
Stale 6m No Package No Dependents

About Machine-Learning-Specialization-Coursera

greyhatguy007/Machine-Learning-Specialization-Coursera

Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG

This resource provides solutions and notes for the Machine Learning Specialization by Andrew Ng on Coursera. It helps students navigate the course material by offering completed assignments and explanations for various concepts like regression, classification, and neural networks. Anyone learning machine learning concepts, particularly those enrolled in this specific Coursera specialization, would find this useful for checking their work and understanding complex topics.

Machine Learning Education Data Science Learning Supervised Learning Regression Analysis Classification Models

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

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