100-Days-Of-ML-Code and 100DaysOfML

These are competing implementations of the same learning curriculum concept, where the first is the established, widely-adopted reference standard (49.8K stars) while the second is a smaller alternative fork attempting to provide more frequent updates and structured projects.

100-Days-Of-ML-Code
51
Established
100DaysOfML
49
Emerging
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 2/25
Adoption 10/25
Maturity 16/25
Community 21/25
Stars: 49,818
Forks: 11,321
Downloads:
Commits (30d): 0
Language:
License: MIT
Stars: 175
Forks: 39
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: GPL-3.0
Stale 6m No Package No Dependents
Stale 6m No Package No Dependents

About 100-Days-Of-ML-Code

Avik-Jain/100-Days-Of-ML-Code

100 Days of ML Coding

This project offers a structured path to learn and practice fundamental machine learning concepts and algorithms. It provides practical code examples and explanations for various techniques, from data preprocessing to linear regression, classification, and basic deep learning. It's designed for individuals aspiring to become machine learning practitioners or data scientists who want hands-on experience.

machine-learning-education data-science-training algorithm-implementation predictive-modeling data-analysis

About 100DaysOfML

lucifertrj/100DaysOfML

100 Days Of Machine Learning. New Content in every 1-2 day and projects every week. The massive 100DaysOfML in building

This is a curated collection of resources designed to help individuals learn and practice Machine Learning and Deep Learning concepts over 100 days. It provides new content, hands-on projects, research papers, and cheat sheets, making it ideal for aspiring data scientists or anyone looking to consistently build their skills in AI. You'll find a structured learning path to guide your progress.

machine-learning-education deep-learning-training data-science-learning ai-skill-building guided-learning-path

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