dr-mushtaq/Machine-Learning
A complete A-Z guide to Machine Learning and Data Science using Python. Includes implementation of ML algorithms, statistical methods, and feature selection techniques in Jupyter Notebooks. Follow Coursesteach for tutorials and updates.
This is a hands-on learning resource for anyone looking to understand and implement machine learning concepts using Python. It provides Jupyter Notebooks, datasets, and exercises that guide you through real-world machine learning tasks. Students, educators, and self-learners can use this to learn how to clean data, build predictive models, and evaluate their performance.
Use this if you are a student, educator, or self-learner who wants a comprehensive, step-by-step guide to learning and practicing machine learning with Python, from basic data handling to advanced algorithm implementation.
Not ideal if you are looking for a plug-and-play solution for a specific business problem or a library to integrate into an existing application without learning the underlying ML concepts.
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Jupyter Notebook
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Last pushed
Mar 18, 2026
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