Hands-On Exploratory Data Analysis with Python

Summary

In this chapter, we have discussed how to import, clean, analyze, and visualize time series datasets using the pandas library. Moreover, we visualized a time series dataset using the matplotlib and seaborn libraries. Finally, we used Python to load and examine the Open Power System Data dataset and performed several techniques associated with TSA.

In the next chapter, we are going to learn about different methods for model development using classical machine learning techniques and three different types of machine learning, namely, supervised learning, unsupervised machine learning, and reinforcement learning.