SiddheshBangar/Learn-Machine-Learning
The "Learn-Machine-Learning" repository on GitHub is a collection of resources and code examples aimed at helping beginners learn the basics of machine learning. The repository includes various Jupyter notebooks and Python scripts that cover topics such as data preprocessing, regression, classification and clustering.
This collection of resources helps individuals with little to no prior experience understand how to build predictive models and analyze data. It provides structured examples and explanations, starting with basic programming up to advanced techniques like neural networks. Aspiring data scientists, analysts, or anyone curious about how to make computers learn from data will find this useful.
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Use this if you are a beginner looking for a practical, step-by-step guide to learn machine learning concepts and apply them using code examples.
Not ideal if you are an experienced machine learning practitioner seeking advanced research papers, cutting-edge algorithms, or a production-ready solution.
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Jupyter Notebook
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Last pushed
Jul 22, 2023
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