Beginner Friendly Resources to Master Artificial Intelligence and Machine Learning with Python (2022)

This page summarizes the projects mentioned and recommended in the original post on

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  • awesome-datascience

    :memo: An awesome Data Science repository to learn and apply for real world problems.

    Awesome Data Science – The awesome lists repositories often provides a good collection of resources around a specific topic, and the awesome-datascience repository is no exception. It contains a very comprehensive list of books, moocs, tutorials, and other content for all learnes of all levels of experience.

  • examples

    TensorFlow examples (by tensorflow)

    tensorflow – An end-to-end open source platform for machine learning, initially developed by Google


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  • TFLearn

    Deep learning library featuring a higher-level API for TensorFlow.

    TFLearn – Deep learning library featuring a higher-level API for TensorFlow

  • scikit-learn

    scikit-learn: machine learning in Python

    scikit-learn – Simple and efficient tools for predictive data analysis, built on NumPy, SciPy, and matplotlib

  • Pytorch

    Tensors and Dynamic neural networks in Python with strong GPU acceleration

    PyTorch – An open source machine learning framework

  • Pandas

    Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

    pandas – A fast, powerful, flexible and easy to use open source data analysis and manipulation tool

  • NumPy

    The fundamental package for scientific computing with Python.

    numpy – The fundamental package for scientific computing with Python

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  • Keras

    Deep Learning for humans

    Keras – An open-source software library that provides a Python interface to TensorFlow for artificial neural networks

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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