In this section, we are going to do some data preprocessing and analysis. Data exploration and analysis is considered one of the most important steps while applying machine learning and might also be considered as the most important one, because at this step, you get to know the friend, Data, which is going to stick with you during the training process. Also, knowing your data will enable you to narrow down the set of candidate algorithms that you might use to check which one is the best for your data.
Let's start off by importing the necessary packages for our implementation:
import matplotlib.pyplot as plt %matplotlib inline from statsmodels.nonparametric.kde import KDEUnivariate from statsmodels.nonparametric ...
