Tags
Beginner
S.No | Article |
1 | Scikit-learn: This is a popular library for classical machine learning algorithms, supporting tasks like classification, regression, clustering, and more. It integrates well with other libraries like NumPy and Pandas.
Scikit Documentation
Tutorial |
2 | TensorFlow is a comprehensive library for building and deploying deep learning models. It is widely used for large-scale machine learning and neural network projects.
(https://www.tensorflow.org/tutorials)
(https://www.youtube.com/watch?v=tPYj3fFJGjk
|
3 | PyTorch
particularly popular for NLP and computer vision tasks.
- PyTorch Documentation
- PyTorch Tutorial on YouTube |
4 | Keras: A high-level API for building and training deep learning models, Keras is user-friendly and runs on top of TensorFlow, making it easier to experiment with deep learning.
- [Keras Documentation](https://keras.io/guides/)
- [Keras Tutorial](https://www.tensorflow.org/guide/keras)
|
5 | Pandas6: Essential for data manipulation and analysis, Pandas provides data structures and functions needed to work with structured data seamlessly.
- [Pandas Documentation](https://pandas.pydata.org/docs/)
- [Pandas Tutorial](https://www.datacamp.com/community/tutorials/pandas-tutorial-dataframe-python)
|
6 | NumPy: A fundamental package for numerical computations in Python, NumPy supports large multi-dimensional arrays and matrices, along with a collection of mathematical functions.
- [NumPy Documentation](https://numpy.org/doc/stable/)
- [NumPy Tutorial](https://www.datacamp.com/community/tutorials/python-numpy-tutorial)
5 |
7 | Matplotlib and Seaborn
Matplotlib is excellent for creating static plots, while Seaborn is built on top of Matplotlib and provides a high-level interface for drawing attractive and informative statistical graphics.
- [Matplotlib Documentation](https://matplotlib.org/stable/contents.html)
- [Seaborn Documentation](https://seaborn.pydata.org/tutorial.html)
|
8 | OpenCV A powerful library for computer vision, OpenCV can process images and videos to identify objects, faces, and even handwriting.
- [OpenCV Documentation](https://docs.opencv.org/master/)
- [OpenCV Tutorial](https://www.pyimagesearch.com/start-here/)
|