python for data science

Charles, Tony F.

ISBN 10: 1654509817 / ISBN 13: 9781654509811

Editore: Independently Published, 2020

New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Codice articolo L0-9781654509811

Riassunto:

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
• Naïve 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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Dati bibliografici

Titolo: python for data science
Casa editrice: Independently Published
Data di pubblicazione: 2020
Legatura: PAP
Condizione: New