Data Science in Action

In data processing and analysis projects, there are many moving parts, and practice and knowledge are required to create a harmonious combination of code, algorithms, datasets, formats, and visual representations. This unique book contains descriptions of five practical projects, including... tracking disease outbreaks through news headlines, analyzing social media, and finding patterns in ad click data.

The author does not limit himself to a superficial discussion of theory and artificial examples. By exploring the presented projects, you will learn how to address common issues such as missing and distorted data and algorithms that do not match the model being created. Appreciate the detailed instructions for setup and in-depth discussions of solutions that describe typical points of failure, and gain confidence in your skills.