MLEveryday/100-Days-Of-ML-Code
100-Days-Of-ML-Code中文版
This resource helps individuals understand and implement various machine learning algorithms. It provides a structured learning path through different techniques like linear regression, decision trees, and K-means clustering. Each 'day' offers explanations and practical code examples, enabling aspiring data scientists and machine learning enthusiasts to build foundational skills from raw data to actionable models.
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Use this if you are a student, hobbyist, or professional looking for a structured, hands-on approach to learning machine learning concepts and their practical application.
Not ideal if you are an experienced machine learning practitioner seeking advanced topics or a deep dive into theoretical research without practical examples.
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Apr 06, 2022
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