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 from news headlines, analyzing social networks, and finding patterns in data on ad click-throughs. The author does not limit themselves 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 match the model being created. Appreciate detailed setup instructions and in-depth discussions of solutions that describe typical failure points, and gain confidence in your skills.