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Provides introductory examples for python libraries: NumPy, Pandas, Seaborn, Matplotlib, Scikit-learn, and Tensorflow.

License: MIT License

Python 100.00%

python-libraries's Introduction

Introductory Examples for Python Libraries

This repository has been created for educational purposes. It provides introductory examples for:

  1. Numpy Library: Arrays and built-in attributes (https://numpy.org/devdocs/user/quickstart.html)
  2. Matplotlib Library: Data visualization, custom figures, and built-in attributes (https://matplotlib.org/)
  3. Pandas Library: DataFrames and Data visualization (https://pandas.pydata.org/pandas-docs/stable/index.html)
  4. Seaborn Library: Data visualization (https://seaborn.pydata.org/)
  5. Scikit-learn Library: Machine Learning Algorithms (https://scikit-learn.org/stable/)
  6. Tensorflow Library: Artificial Neural Networks using Keras API (https://www.tensorflow.org/api_docs/python/tf/keras/Model)

Scripts for other libraries will be added once available.

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