python data analytics

Tony F. Charles

ISBN 10: 1801116008 / ISBN 13: 9781801116008

Published by Tony F. Charles, 2020

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - 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 AnalysisNumPy2-D and 3-D arraysSciPyLinear AlgebraPandasOperationsPython IDEAtomEclipseVariables and Data TypesDecision Making and Basic OperatorsObject Oriented ProgrammingRegular ExpressionsData HandlingLoad date from different server such as CSV, URL or SQLPython AggregationBuilding Machine Learning ModelsData ScienceData PipelinesData SegregationImportance of MetadataMachine Learning AlgorithmsScikit LearnEffective Data VisualizationEvaluating Accuracy of the ModelAdvantages of Naïve BayesK-Means ClusteringExpectation-Minimization AlgorithmMean Shift AlgorithmArtificial Neural NetworksDeep Neural NetworksArchitecture of ANN'sData Science in Real WorldVirtual AssistantsRisk and Fraud DetectionData Analytics in DetailTypes and Categories of Data AnalyticsSteps in Data MiningData Science Lifecycle and Model BuildingImproving Data Science ModelsDetermine ProblemsSearch for More DataDeep Learning and BusinessModel InterpretabilityAutonomous VehiclesFinding Useful DataBig DataThis 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.

Seller Inventory # 9781801116008

Bibliographic Details

• Title: python data analytics
• Publisher: Tony F. Charles
• Publication Date: 2020
• Language: English
• ISBN 10: 1801116008
• ISBN 13: 9781801116008
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 229W x 152H x 10D millimeters 229 millimeters width by 152 millimeters height by 10 millimeters depth
• Weight: 265 grams

About this title

Synopsis

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.