Python Data Science Essentials

Become an efficient data science practitioner by understanding Python's key concepts About This Book Quickly get familiar with data science using Python 3.5 Save time (and effort) with all the essential tools explained Create effective data ...

Python Data Science Essentials

Become an efficient data science practitioner by understanding Python's key concepts About This Book Quickly get familiar with data science using Python 3.5 Save time (and effort) with all the essential tools explained Create effective data science projects and avoid common pitfalls with the help of examples and hints dictated by experience Who This Book Is For If you are an aspiring data scientist and you have at least a working knowledge of data analysis and Python, this book will get you started in data science. Data analysts with experience of R or MATLAB will also find the book to be a comprehensive reference to enhance their data manipulation and machine learning skills. What You Will 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 hypotheses 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 In Detail Fully expanded and upgraded, the second edition of Python Data Science Essentials takes you through all you need to know to suceed in data science using Python. Get modern insight into the core of Python data, including the latest versions of Jupyter notebooks, NumPy, pandas and scikit-learn. Look beyond the fundamentals with beautiful data visualizations with Seaborn and ggplot, web development with Bottle, and even the new frontiers of deep learning with Theano and TensorFlow. Dive into building your essential Python 3.5 data science toolbox, using a single-source approach that will allow to to work with Python 2.7 as well. Get to grips fast with data munging and preprocessing, and all the techniques you need to load, analyse, and process your data. Finally, get a complete overview of principal machine learning algorithms, graph analysis techniques, and all the visualization and deployment instruments that make it easier to present your results to an audience of both data science experts and business users. Style and approach The book is structured as a data science project. You will always benefit from clear code and simplified examples to help you understand the underlying mechanics and real-world datasets.

More Books:

Python Data Science Essentials
Language: en
Pages: 378
Authors: Alberto Boschetti, Luca Massaron
Categories: Computers
Type: BOOK - Published: 2016-10-28 - Publisher: Packt Publishing Ltd

Become an efficient data science practitioner by understanding Python's key concepts About This Book Quickly get familiar with data science using Python 3.5 Save time (and effort) with all the essential tools explained Create effective data science projects and avoid common pitfalls with the help of examples and hints dictated
Python Data Science Essentials
Language: en
Pages: 472
Authors: Alberto Boschetti, Luca Massaron
Categories: Computers
Type: BOOK - Published: 2018-09-28 - Publisher: Packt Publishing Ltd

Python Data Science Essentials, Third Edition provides modern insight in setting up and performing data science operations effectively using the latest python tools and libraries. It builds faster governance on the most essential tasks such as data munging and pre-processing, along with all the techniques you require.
Python Data Science Essentials - Second Edition
Language: en
Pages: 378
Authors: Alberto Boschetti, Luca Massaron
Categories: Computers
Type: BOOK - Published: 2016-10-28 - Publisher:

Become an efficient data science practitioner by understanding Python's key conceptsAbout This Book- Quickly get familiar with data science using Python 3.5- Save time (and effort) with all the essential tools explained- Create effective data science projects and avoid common pitfalls with the help of examples and hints dictated by
Data Science Essentials in Python
Language: en
Pages: 226
Authors: Dmitry Zinoviev
Categories: Business & Economics
Type: BOOK - Published: 2016-08-10 - Publisher: Pragmatic Bookshelf

Go from messy, unstructured artifacts stored in SQL and NoSQL databases to a neat, well-organized dataset with this quick reference for the busy data scientist. Understand text mining, machine learning, and network analysis; process numeric data with the NumPy and Pandas modules; describe and analyze data using statistical and network-theoretical
Data Science Essentials in Python
Language: en
Pages: 200
Authors: Dmitry Zinoviev
Categories: Business & Economics
Type: BOOK - Published: 2016-08-15 - Publisher:

Go from messy, unstructured artifacts stored in SQL and NoSQL databases to a neat, well-organized dataset with this quick reference for the busy data scientist. Understand text mining, machine learning, and network analysis; process numeric data with the NumPy and Pandas modules; describe and analyze data using statistical and network-theoretical