YasinRezvani/Hands_On_Machine_Learning_and_Deep_Learning_with_Python
Jupyter notebooks for practicing Python data analysis and visualization with Matplotlib, NumPy, Pandas, SciPy, Seaborn, Keras, TensorFlow, and PyTorch.
This resource provides practical examples for Python developers and researchers to enhance their skills in machine learning and deep learning. It offers Jupyter notebooks demonstrating how to prepare data, visualize patterns, and build neural networks for tasks like image recognition. The notebooks take raw datasets and produce trained models and data visualizations. It is ideal for those learning or practicing data science and AI development.
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Use this if you are a developer looking for hands-on Python examples to practice data analysis, visualization, and building deep learning models.
Not ideal if you are a non-technical user seeking a ready-to-use application or a high-level explanation without needing to write code.
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Jupyter Notebook
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MIT
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Last pushed
Mar 31, 2025
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