Visualization, Insights, and Results

After exploring machine learning, but not because the topic is less relevant than others, we are going to illustrate how to create visualizations with Python to enrich your data science project. Visualization plays an important role in helping you communicate the results and insights derived from data and the learning process.

In this chapter, you will learn how to do the following:

  • Use the basic pyplot functions from the matplotlib package
  • Leverage a pandas DataFrame for Explorative Data Analysis (EDA)
  • Create beautiful and interactive charts with Seaborn
  • Visualize the machine learning and optimization processes we discussed in Chapter 3, The Data Pipeline, and Chapter 4, Machine Learning
  • Understand and ...

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