100-Days-Of-ML-Code and 100_Days_MLDL
These are competitors, as both repositories provide a "100-day" curriculum for learning machine learning and deep learning, offering alternative paths to achieve a similar educational goal.
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_MLDL
ds-teja/100_Days_MLDL
Hello Data Enthusiast! I will be updating my 100-day Journey here along with detailed Code Files Starting from Essential Libraries to Advanced Machine Learning and Deep Learning Algorithm Theory with Implementation. Save for Later ⭐ Happy Learning :)
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