maykulkarni/Machine-Learning-Notebooks
Machine Learning notebooks for refreshing concepts.
This collection of Jupyter notebooks helps data practitioners refresh their understanding and skills in various machine learning and deep learning concepts. It provides practical examples for tasks like preparing data, building predictive models (regression, classification), grouping data (clustering), and evaluating model performance. Data scientists, machine learning engineers, and data analysts can use these notebooks to reinforce their knowledge.
549 stars. No commits in the last 6 months.
Use this if you are a data professional who needs to revisit fundamental machine learning algorithms and techniques with hands-on examples.
Not ideal if you are looking for advanced, production-ready code or a comprehensive theoretical textbook on machine learning.
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549
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Jupyter Notebook
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Last pushed
Aug 24, 2021
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