RegaipKURT/Machine-Learning-Python
Python Makine Öğrenmesi ve Derin Öğrenme Kodları
This collection provides practical Python code examples for common machine learning and deep learning tasks. It helps users understand how to apply various algorithms to datasets, demonstrating the process from input data to trained models or predictions. Anyone learning or practicing machine learning, such as a data science student, analyst, or researcher, would find this useful.
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Use this if you are studying or working with machine learning and need concrete Python examples to understand how different algorithms are implemented and applied.
Not ideal if you are looking for a complete, production-ready machine learning framework or an extensive library for a specific deep learning architecture.
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Last pushed
May 14, 2022
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