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Python for Machine Learning – Part 1

A Prerequisite to Learn Machine Learning
Instructor:
Arunachala Damodar
26,066 students enrolled
English [Auto]
Python Programming for Machine Learning

Python Programming Concepts like

     – Operators

     – Math Library

     – Variables

     – Dynamic Types

     – Data Types

    – Type Casting

    – Data Types Changes

    – Strings

    – Boolean

    – Special Characters in a String

    – Split and Strip Methods

    –  Introduction to Lists

    – Lists Slicing

    – Lists – Builtin Functions

    – String and Boolean Lists

    – Concatenate Strings Using Join Method

    – Mixed Lists

   –  Add Two Lists

   –  Nested Lists

   –  Introduction to Dictionary

   –  Dictionary & It’s Methods

   –  Nested Dictionary

   –  Create Dictionary using Zip Method

   –  Sets

   –  Tuples

   – If…Else..If Condition

   – While Loop

   –  Range Method

   –  ………..Lot More…

1
Introduction
2
Installation of Anaconda
3
Jupyter Notebook Basics

Python Programming

1
Arithmetic Operators
2
Comparison or Relational Operators
3
Logical or Boolean Operators
4
Bitwise Operators
5
Assignment Operators
6
Special Operators
7
Math using 'math' library
8
Variables
9
Data Types
10
Typecasting
11
Booleans
12
Strings
13
Special Characters in a String !!!
14
How to Split and Strip a String ???
15
Introduction to Lists
16
Lists Slicing and Reverse Order !!!
17
Kinds of Lists
18
Concatenate Strings Using join()
19
How to add two Lists ???
20
Introduction to Dictionary
21
Dictionary & It's Methods
22
Nested Dictionary
23
Create Dictionary using zip()
24
Tuples
25
Sets
26
if...elif....else
27
while loop
28
range() method
29
for loop
30
Reserve Keywords
31
Builtin Functions
32
User Defined Functions
33
Anonymous or Lambda Functions
34
File IO Operations
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