gamalahmed3265/Machine-Learning
Machine Learning course by Kirill Eremenko and Hadelin de Ponteves.
This project provides the practical materials for a Machine Learning A-Z course, helping aspiring data scientists and analysts learn how to build predictive models. It includes code templates in Python and R, along with the datasets needed to train various machine learning algorithms. Users will gain hands-on experience in implementing different ML techniques.
No commits in the last 6 months.
Use this if you are learning machine learning from scratch and need all the code examples and datasets to follow along with a comprehensive course.
Not ideal if you are looking for a pre-built tool or library to apply machine learning without understanding the underlying code and algorithms.
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Jupyter Notebook
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Last pushed
Jun 06, 2023
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