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.
About 100-Days-Of-ML-Code
Avik-Jain/100-Days-Of-ML-Code
100 Days of ML Coding
Structured curriculum covering foundational ML algorithms (regression, classification, SVM, decision trees) paired with mathematical prerequisites via curated video resources and infographics. Includes hands-on implementations using scikit-learn and Python across supervised learning techniques, complemented by deep learning specialization coursework and theoretical foundations from university-level lectures. Progressively builds from data preprocessing fundamentals through advanced topics like kernel methods and neural networks, with accompanying datasets and code examples for each concept.
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
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