In this section, we'll be looking at data exploration, and modeling in three of the most important libraries. Therefore, we'll break things down into the following sub-recipes:
- Visualizing data in Seaborn
- Modeling in scikit-learn
- Modeling in Keras
- Modeling in PyTorch
Throughout these recipes and several subsequent ones, we'll focus on covering first the basics of the three most important libraries for AI in Python: scikit-learn, Keras, and PyTorch. Through this, we will introduce basic and intermediate techniques in supervised machine learning with deep neural networks and other algorithms. This recipe will cover the basics of these three main libraries in machine learning and deep learning.
We'll go through a simple classification task using scikit-learn, Keras, and PyTorch in turn. We'll run both of the deep learning frameworks in offline mode.
These recipes are for introducing the basics of the three libraries...
