python for data science - Couverture souple

Charles, Tony F

 
9781801115995: python for data science

Synopsis

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.


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Autres éditions populaires du même titre

9781654509811: python for data science: the ultimate guide for beginners.machine learning tools,concepts and introduction.python programming crash course

Edition présentée

ISBN 10 :  1654509817 ISBN 13 :  9781654509811
Editeur : Independently published, 2020
Couverture souple