rfeers/ML-Basics
Guided course to crash into the most basic ML algorithms.
This guided course helps you understand and implement fundamental machine learning algorithms from scratch. It takes complex mathematical concepts and breaks them down into understandable theory and practical coding examples. This is for anyone interested in learning how basic ML models like Linear and Logistic Regression work, including students, aspiring data scientists, or curious professionals.
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Use this if you are new to machine learning and want a structured, accessible way to learn core algorithms.
Not ideal if you are an experienced machine learning practitioner looking for advanced topics or production-ready code.
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Jupyter Notebook
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Last pushed
Apr 02, 2024
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