Python For Machine Learning

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Python For Machine Learning

  1. Introduction

 

  1. Installation of Anaconda

 

  1. Jupyter Notebook Basics

 

Section 1: Python Programming

 

  1. Arithmetic Operators

 

  1. Comparison or Relational Operators

 

  1. Logical or Boolean Operators

 

  1. Bitwise Operators

 

  1. Assignment Operators

 

  1. Special Operators

 

  1. Math using ‘math’ library

 

  1. Variables

 

  1. Data Types

 

  1. Typecasting

 

  1. Booleans

 

  1. Strings

 

  1. Special Characters in a String !!!

 

  1. How to Split and Strip a String ???

 

  1. Introduction to Lists

 

  1. Lists Slicing and Reverse Order !!!

 

  1. Kinds of Lists

 

  1. Concatenate Strings Using join()

 

  1. How to add two Lists ???

 

  1. Introduction to Dictionary

 

  1. Dictionary & It’s Methods

 

  1. Nested Dictionary

 

  1. Create Dictionary using zip()

 

  1. Tuples

 

  1. Sets

 

  1. if…elif….else

 

  1. while loop

 

  1. range() method

 

  1. for loop

 

  1. Reserve Keywords

 

  1. Builtin Functions

 

  1. User Defined Functions

 

  1. Anonymous or Lambda Functions

 

  1. File IO Operations

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