Python for Data Analysis: Learn The Principles of Data Analysis and Raise Your Programming IQ. Improve Your Machine Learning Experience and Beco

Robert Campbell

ISBN 10: 1801583358 / ISBN 13: 9781801583350

Edité par LIGHTNING SOURCE INC, 2021

A propos de cet article

Zustand: Hervorragend | Seiten: 98 | Sprache: Englisch | Produktart: Bücher.

N° de réf. du vendeur 37174897/1

Détails bibliographiques

• Titre: Python for Data Analysis: Learn The Principles of Data Analysis and Raise Your Programming IQ. Improve Your Machine Learning Experience and Beco
• Éditeur: LIGHTNING SOURCE INC
• Date de parution: 2021
• Langue: anglais
• ISBN à 10 chiffres: 1801583358
• ISBN à 13 chiffres: 9781801583350
• Reliure: Couverture souple
• État de l'article: Hervorragend

A propos de ce titre

Synopsis

IF YOU REALLY WANT TO DISCOVER THE SECRETS BEHIND PYTHON DATA SCINCE, THEN KEEP READING...
Data ysis plays an important role in many aspects of life today. From the moment you wake up, you interact with data at different levels. A lot of important decisions are made based on data ytics. Companies need data to help them meet many of their goals. As the population of the world keeps growing, its customer base keeps expanding. In light of this, they must find ways of keeping their customers happy while at the same time meeting their business goals. 
Given the nature of comition in the business world, it is not easy to keep customers happy. Comitors keep preying on each other's customers, and those who win have another challenge ahead - how to maintain the customers lest they slide back to their former business partners. This is one area where Data ysis comes in handy. 
This book covers:
·       What is Data ysis
·       Python Crash Course
·       Data Munging
·       Why Data Preprocessing Is Important
·       What is Data Wrangling?
·       Inheritances to Clean Up the Code
·       The Different Types of Data We Can Work With
·       The Importance of Data ualization
·       Indexing and selecting arrays
·       Common Debugging Tools
·       Neural Network and What to Use for?
And much more.
 
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