Top 30 Python Libraries for Machine Learning (updated 05/2023)

What are the Top 30 Python Libraries for Machine Learning?

Here is a list of the top 30 Python libraries for machine learning with a brief description and their official website link:

1. NumPy - A library for numerical computing with Python. https://numpy.org/

2. Pandas - A library for data manipulation and analysis. https://pandas.pydata.org/

3. Scikit-learn - A library for machine learning built on top of NumPy and SciPy. https://scikit-learn.org/stable/

4. TensorFlow - A library for deep learning developed by Google Brain. https://www.tensorflow.org/

5. PyTorch - A library for deep learning developed by Facebook AI Research. https://pytorch.org/

6. Keras - A high-level neural networks API written in Python. https://keras.io/

7. Matplotlib - A library for data visualization. https://matplotlib.org/

8. Seaborn - A library for statistical data visualization. https://seaborn.pydata.org/

9. Plotly - A library for creating interactive data visualizations. https://plotly.com/

10. Statsmodels - A library for statistical modeling and inference. https://www.statsmodels.org/stable/index.html

11. NLTK - A library for natural language processing. https://www.nltk.org/

12. Gensim - A library for topic modeling and similarity detection. https://radimrehurek.com/gensim/

13. Theano - A library for numerical computation in deep learning. https://github.com/Theano/Theano

14. XGBoost - A library for gradient boosting algorithms. https://xgboost.readthedocs.io/en/latest/

15. LightGBM - A library for gradient boosting algorithms developed by Microsoft. https://lightgbm.readthedocs.io/en/latest/

16. CatBoost - A library for gradient boosting algorithms developed by Yandex. https://catboost.ai/

17. FastText - A library for efficient text classification and representation learning. https://fasttext.cc/

18. Scipy - A library for scientific computing with Python. https://www.scipy.org/

19. NetworkX - A library for the study of complex networks. https://networkx.github.io/

20. PyBrain - A library for building neural networks. http://pybrain.org/

21. PySpark - A library for large-scale data processing. https://spark.apache.org/docs/latest/api/python/

22. OpenCV - A library for computer vision and machine learning. https://opencv.org/

23. PyCaret - A library for low-code machine learning. https://pycaret.org/

24. Hugging Face - A library for natural language processing and transformers. https://huggingface.co/

25. Prophet - A library for time series forecasting. https://facebook.github.io/prophet/

26. Sktime - A library for machine learning on time series data. https://www.sktime.org/

27. Dask - A library for parallel computing with Python. https://dask.org/

28. Flask - A micro web framework for building web applications in Python. https://flask.palletsprojects.com/en/2.1.x/

29. Dash - A library for building interactive web applications with Python. https://dash.plotly.com/

30. OpenAI Gym - A library for developing and comparing reinforcement learning algorithms. https://gym.openai.com/

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