In this section, we will see some of the tools that are used while creating machine learning models. Here, we will be using the scikit-learn package, but these are available in many other libraries too. The overall functioning and the purpose remain the same.
Useful tools
Preprocessing
Preprocessing the input as well as target labels in settings such as classification or regression is as important as the model itself. Some of the techniques used are explained as follows.
Normalization
For the ease of the model to learn proper parameters through a training set, it is highly...