Python Packages for Learning Algorithms

Learning algorithms are widely used in almost all domains. The overall procedure to generate a learning algorithm model is to preprocess the dataset, train the model based on the nature of the data with supervised or unsupervised or deep learning algorithms, and then verify the model by testing. These procedure steps are provided in many Python packages. Keras, TensorFlow, SciPy, PyTorch, Theano, Pandas, Matplotlib, Scikit-learn, Seaborn, and OpenCV are the 10 most important Python packages that support learning algorithms, their preprocessing and output prediction, the visualization of results, etc. This chapter describes these 10 packages.