ibrahimcanerdogan/Machine-Learning-Tutorial
All Classification, Regression, Unsupervised Learning Algorithms
This educational resource provides practical examples and video lectures for understanding and applying various machine learning algorithms. You can input your raw data and learn how to process it to predict continuous values (regression) or categorize items (classification), as well as discover hidden patterns (unsupervised learning). This is designed for anyone looking to learn fundamental machine learning concepts.
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Use this if you are a student, data analyst, or aspiring data scientist who wants to grasp the core ideas of machine learning through hands-on code examples and clear explanations.
Not ideal if you are an experienced machine learning engineer looking for advanced topics, highly optimized production code, or specialized deep learning architectures.
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Jupyter Notebook
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Last pushed
Dec 18, 2020
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