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 features descriptions of five practical projects, including... tracking disease outbreaks through news headlines, social media analysis, and finding patterns in ad click data. The author does not limit himself to superficial discussions 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 fit the model being created. Appreciate the detailed setup instructions and in-depth discussions of solutions that outline typical failure points, and gain confidence in your skills.