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Nos liseuses Vivlio rencontrent actuellement des problèmes de synchronisation. Nous faisons tout notre possible pour résoudre ce problème le plus rapidement possible. Toutes nos excuses pour la gêne occasionnée !
- Retrait gratuit dans votre magasin Club
- 7.000.0000 titres dans notre catalogue
- Payer en toute sécurité
- Toujours un magasin près de chez vous
Python for Data Analysis
Learn The Principles of Data Analysis and Raise Your Programming IQ. Improve Your Machine Learning Experience and Become a Skilled Programmer by Learning 10+ Coding Secrets
Robert Campbell
34,95 €
+ 69 points
Format
Description
IF YOU REALLY WANT TO DISCOVER THE SECRETS BEHIND PYTHON DATA SCINCE, THEN KEEP READING...
Data analysis 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 analytics. 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 competition in the business world, it is not easy to keep customers happy. Competitors 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 Analysis comes in handy.
This book covers:
- What is Data Analysis
- Python Crash Course
- Data Munging
- Why Data Preprocessing Is Important
- What is Data Wrangling?
- Inheritances to Clean Up the Code
- Reading and writing data
- The Importance of Data Visualization
- Indexing and selecting arrays
- Common Debugging Tools
- Neural Network and What to Use for?
And much more.
Ready to get started? Click "Buy Now"!
Spécifications
Parties prenantes
- Auteur(s) :
- Editeur:
Contenu
- Nombre de pages :
- 98
- Langue:
- Anglais
- Collection :
Caractéristiques
- EAN:
- 9781801583367
- Date de parution :
- 28-01-21
- Format:
- Livre broché
- Format numérique:
- Trade paperback (VS)
- Dimensions :
- 152 mm x 229 mm
- Poids :
- 140 g
