Python Data Science Essentials

More Information
Learn
  • Set up your data science toolbox using a Python scientific environment on Windows, Mac, and Linux
  • Get data ready for your data science project
  • Manipulate, fix, and explore data in order to solve data science problems
  • Set up an experimental pipeline to test your data science hypothesis
  • Choose the most effective and scalable learning algorithm for your data science tasks
  • Optimize your machine learning models to get the best performance
  • Explore and cluster graphs, taking advantage of interconnections and links in your data
About

The book starts by introducing you to setting up your essential data science toolbox. Then it will guide you across all the data munging and preprocessing phases. This will be done in a manner that explains all the core data science activities related to loading data, transforming and fixing it for analysis, as well as exploring and processing it. Finally, it will complete the overview by presenting you with the main machine learning algorithms, the graph analysis technicalities, and all the visualization instruments that can make your life easier in presenting your results.

In this walkthrough, structured as a data science project, you will always be accompanied by clear code and simplified examples to help you understand the underlying mechanics and real-world datasets.

Features
  • Quickly get familiar with data science using Python
  • Save tons of time through this reference book with all the essential tools illustrated and explained
  • Create effective data science projects and avoid common pitfalls with the help of examples and hints dictated by experience
Page Count 258
Course Length 7 hours 44 minutes
ISBN 9781785280429
Date Of Publication 29 Apr 2015

Authors

Alberto Boschetti

Alberto Boschetti is a data scientist with expertise in signal processing and statistics. He holds a Ph.D. in telecommunication engineering and currently lives and works in London. In his work projects, he faces challenges ranging from natural language processing (NLP) and behavioral analysis to machine learning and distributed processing. He is very passionate about his job and always tries to stay updated about the latest developments in data science technologies, attending meet-ups, conferences, and other events.

Luca Massaron

Luca Massaron is a data scientist and marketing research director specialized in multivariate statistical analysis, machine learning, and customer insight, with over a decade of experience of solving real-world problems and generating value for stakeholders by applying reasoning, statistics, data mining, and algorithms. From being a pioneer of web audience analysis in Italy to achieving the rank of a top-10 Kaggler, he has always been very passionate about every aspect of data and its analysis, and also about demonstrating the potential of data-driven knowledge discovery to both experts and non-experts. Favoring simplicity over unnecessary sophistication, Luca believes that a lot can be achieved in data science just by doing the essentials.