python data analytics

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 Nave 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...