Shypd.aiThe largest open index of AI toolsMachine-Learning-Notebooks is an open-source collection of Jupyter notebooks designed for refreshing machine learning and deep learning concepts. It covers topics from NumPy basics to advanced neural networks and reinforcement learning.
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Machine-Learning-Notebooks is a comprehensive GitHub repository offering a curated collection of Jupyter notebooks for individuals looking to refresh or learn machine learning and deep learning concepts. The notebooks cover a wide array of topics, including fundamental NumPy operations, various data preprocessing techniques, different regression and classification algorithms, clustering methods, model evaluation metrics, and advanced areas like reinforcement learning, natural language processing, and neural networks. It also includes specialized notebooks on dimensionality reduction and model selection. The resource is compiled from various online sources, making it a valuable, centralized hub for structured learning and practical application of ML/DL concepts.
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