Thread by @Sauain

Five Python Libraries for Machine Learning 🐍

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1⃣ 𝗧𝗲𝗻𝘀𝗼𝗿𝗙𝗹𝗼𝘄

It is an open-source library created by the Google Brain team.

It is very popular for high-performance numerical computation.

It has an ecosystem of tools, libraries, and community resources for building and deploying powerful ML applications.

2⃣ 𝗞𝗲𝗿𝗮𝘀

Keras is a deep learning API written in Python, running on top of the machine learning platform TensorFlow.

It is a high-level neural networks API capable of running on top of TensorFlow, CNTK, or Theano.

It can run seamlessly on both CPU and GPU.

3⃣ 𝗣𝗮𝗻𝗱𝗮𝘀

Pandas is also an open-source library.

It is a very fast, powerful, and easy-to-use data analysis and manipulation tool.

It is not directly related to Machine Learning.

As we know that the dataset must be prepared before training.

4⃣ 𝗣𝘆𝘁𝗼𝗿𝗰𝗵

Pytorch is also an open-source library.

It is based on the torch library which is implemented in C with a wrapper in Lua.

It has a big choice of tools and libraries that can be used for NLP, Computer Vision, etc.

5⃣ 𝗦𝗰𝗶𝗸𝗶𝘁-𝗹𝗲𝗮𝗿𝗻

Scikit-learn provides a range of supervised and unsupervised learning algorithms via a consistent interface in Python.

It is licensed under a permissive simplified BSD license encouraging academic and commercial use.

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