Best Python libraries for Machine Learning that are open source 💯

A summary about each with their GitHub link 😉

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1. Pandas

It aims to be the fundamental high-level building block for practical, real-world data analysis in Python.

🔗 https://t.co/toOkhEazmQ
2. OpenCV

It has more than 2500 highly optimised algorithms for machine learning and computer vision that can do just about anything with images.

🔗 https://t.co/Z967hfrsvI
3. Matplotlib

Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python.

🔗 https://t.co/ocpMxzCSmX
4. Tensorflow

It's an end-to-end Machine Learning and Deep Learning library to solve real-world challenges.

🔗https://t.co/wNhupEWq3k
5. Keras

Released in 2015, Keras is an advanced open-source Python deep learning API and framework built on top of Tensorflow-another powerful ML platform.

🔗 https://t.co/hHDCRRHrB7
6. NumPy

It is the fundamental package for scientific computing with Python.

🔗 https://t.co/SLIqjhdQNX
7. Scikit-learn

It is a Python module for machine learning built on top of SciPy and is distributed under the 3-Clause BSD license.

🔗 https://t.co/nF6JHcO6TF
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