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Kniha python data analytics Tony F. Charles

python data analytics

Autor: Tony F. Charles
Jazyk: Angličtina
Vazba: Brožovaná
Vydavatel: Tony F. Charles
Dostupnost: Skladem u dodavatele
Odesíláme za 9-15 dnů
347 Kč
Are you looking for a beginner's guide?Do you want to learn how to use python for beginners in a sim...

Informace o knize

Autor
Tony F. Charles
Jazyk
Angličtina
Vazba
Kniha - Brožovaná
Vydáno
2020
Stránek
176
EAN
9781801116008
ISBN
1801116008
Enbook ID
33303483
Vydavatel
Tony F. Charles
Hmotnost
245
Rozměry
152 x 229 x 10

Kompletní popis

Are you looking for a beginner's 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:


Basics of Python for Data Analysis

  • NumPy
  • 2-D and 3-D arrays
  • SciPy
  • Linear Algebra
  • Pandas
  • Operations
  • Python IDE
  • Atom
  • Eclipse
  • Variables and Data Types
  • Decision Making and Basic Operators
  • Object Oriented Programming
  • Regular Expressions
  • Data Handling
  • Load date from different server such as CSV, URL or SQL
  • Python Aggregation
  • Building Machine Learning Models
  • Data Science
  • Data Pipelines
  • Data Segregation
  • Importance of Metadata
  • Machine Learning Algorithms
  • Scikit Learn
  • Effective Data Visualization
  • Evaluating Accuracy of the Model
  • Advantages of Naïve Bayes
  • K-Means Clustering
  • Expectation-Minimization Algorithm
  • Mean Shift Algorithm
  • Artificial Neural Networks
  • Deep Neural Networks
  • Architecture of ANN's
  • Data Science in Real World
  • Virtual Assistants
  • Risk and Fraud Detection
  • Data Analytics in Detail
  • Types and Categories of Data Analytics
  • Steps in Data Mining
  • Data Science Lifecycle and Model Building
  • Improving Data Science Models
  • Determine Problems
  • Search for More Data
  • Deep Learning and Business
  • Model Interpretability
  • Autonomous Vehicles
  • Finding Useful DataBig Data

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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