T�tulo: python for data science: the ultimate guide for beginners.machine learning tools,concepts and introduction.python programming crash course
Editor: Independently published
Fecha de publicaci�n: 2020
Idioma: Ingl�s
ISBN 10: 1654509817
ISBN 13: 9781654509811
Encuadernaci�n: Paperback
Estado: Very Good

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Sinopsis

Are you looking for a beginners guide?

Do you want to learn how to use python for beginners in a simple way?

Do you want to enter into the new world of Python for beginners in an efficient and effective way?

This book will teach you the basics as well as the advanced concepts of computers and programming. The gaming industry is growing rapidly and Python offers a lot of libraries to create games. Many tech giants rely on Python to deliver world-class applications.

In This book you will learn:

Python setup
Anaconda
Winpython
Data science packeges
Jupyter
Data munging with pandas
The process
Importing datasets
Data preprocessing
The data science pipeline
Principal component analysis
Supervised learning algorithms
Analyzing big data
Neural networks structures
Classification and regression trees
The overfitting problem
New features
Na�ve bayes classifier
Linear regression
Logistic regression
Support vector machine
Applications in the real world
Pruning
Data selection

This book is not just a startup guide. This book will prove beneficial for years to come. The book has the latest codes and techniques so you can equip your skills according to the current market challenges. After all, the purpose is to land a nicely paid job in a globally recognized firm. This book will help you reach that goal!

Most people can learn how to code but not just anyone can code smartly. This book is going to help you to think out of the box and take on problems with a completely different perspective. The tricks mentioned will make you invaluable to any software development firm.

Even if you don’t have any skills this book help you step by step to achieve your goal in a few days you will be able to learn it.

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Descripci�n de la librer�a

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