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Index
Description
Introduction
Chapter 1: Why python
Chapter 2: Python for Data Analysis – Basics
Chapter 3: Python Operators
Chapter 4: Supervised Learning Algorithms
Chapter 5: Creating & Accessing Your Python Dictionary
Chapter 6: Introducing Variables
Chapter 7: Naming Conventions and Comments
Chapter 8: Handling Inputs
Chapter 9: Working with the Conditional Statements
Chapter 10: Exception Handling in the Python Language
Chapter 11: Functions, Classes and Methods
Chapter 12: Using Linear Regression for Predictions
Chapter 13: Replacing and Correcting words
Chapter 14: Using Jupyter notebook for user interaction
Chapter 15: The Regular Expressions
Chapter 16: Data Visualization with Python
Conclusion
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