mstrYoda/ml-from-scratch
A comprehensive collection of practical machine learning examples using popular frameworks and libraries.
This collection provides practical examples for common machine learning tasks, from data manipulation and visualization to building and deploying advanced AI models. It helps data scientists, machine learning engineers, and researchers quickly learn how to implement various algorithms and techniques. You'll find code examples that take raw data or model inputs and produce analytical insights, visualizations, or trained machine learning models.
128 stars. No commits in the last 6 months.
Use this if you are a data scientist or machine learning practitioner looking for hands-on code examples to understand and implement various machine learning techniques using popular libraries.
Not ideal if you are looking for a plug-and-play tool for a specific business problem rather than learning or referencing machine learning code implementations.
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128
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5
Language
Python
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Last pushed
Feb 09, 2025
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