We have now come to the concluding chapter of this book. Throughout the course of this book, you have mastered the techniques to create and customize static and animated plots using real-world data in different formats scraped from the web. To wrap up, we will start a mini-project in this chapter to combine the skills of data analytics with the visualization techniques you've learned. We will demonstrate how to integrate visualization techniques in your current workflow.
In the era of big data, machine learning becomes fundamental to ease analytic work by replacing huge amounts of manual curation with automatic prediction. Yet, before we enter model building, Exploratory Data Analysis (EDA) is always essential to get a good grasp of what the data is like. Constant review during the optimization process also helps improve our training strategy and results.
High-dimensional data typically requires special processing techniques to be...