100-Days-Of-ML-Code and 100-Days-of-Code-Data-Science
These two tools are competitors, as both repositories provide comprehensive, structured coding challenges for learning machine learning or data science from scratch over a 100-day period.
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 100-Days-of-Code-Data-Science
mankarsnehal/100-Days-of-Code-Data-Science
Starting a 100 Days Code Challenge for Learning Data Science from Scratch
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