Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages.

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Bibliographic Details

Title: Python for Data Analysis: The Ultimate Beginner's Guide to Data Analytics, Deep Learning, Machine Learning and Neural Networks (Python Crash Course)
Publisher: Independently published
Publication Date: 2019
Language: English
ISBN 10: 1711119644
ISBN 13: 9781711119649
Binding: Soft cover
Condition: very good

About this title

Synopsis

Are you searching for a professional guide for learning data analysis from scratch?

In this crash course, you will find everything you need to become proficient in this discipline, regardless of your previous experience. Starting from the basics, Daniel Howard will teach you the most up-to-date techniques to manipulate and process data, using Python libraries such us NumPy, Pandas and Matplotlib.

Python is one of the most famous programming languages and it is recognized as the most effective tool for machine learning and data science, thanks to its large number of dedicated resources. Since it is designed for everyone, you will be amazed by the large number of programs that you will be able to create in no time, even as a beginner.

Here is a preview of what you will learn:

What data analysis is, and why it is fundamental in hundreds of business and technological applications
Effective computational methods to manipulate large amounts of data
Data visualization tools and techniques
How to develop a successful career in one of the best paid sectors
Real-world applications of machine learning and artificial intelligence
What predictive modeling is
How to build neural networks with Python

If you are a student or a professional looking for more technical skills, or if you are simply curious about data analytics and its powerful applications, then click the BUY button and get your copy!

"About this title" may belong to another edition of this title.

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