num_pages: 258
description: 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. Alberto Boschetti is a data scientist with expertise in signal processing and statistics. He holds a PhD in telecommunication engineering and currently lives and works in London. In his work projects he faces challenges involving natural language processing (NLP) machine learning and probabilistic graph models everyday. Luca Massaron is a data scientist and marketing research director who specializes in multivariate statistical analysis machine learning and customer insight with over a decade of experience in solving real-world problems and generating value for stakeholders by applying reasoning statistics data mining and algorithms.
language: English
title: Python Data Science Essentials: Become an efficient data science practitioner by thoroughly understanding the key concepts of Python
publisher: Packt Publishing