Python Programming for Begineers

Python Programming for Machine Learning
Requirements
Some basic knowledge in Programming concepts like Writing Conditional Statements, Loops, etc.,
Description
Python Programming Concepts like
- Operators (Arithmatic, Boolean, Bitwise, etc.,)
- Math Library (Addition, Subtration, Logarithmic, etc.,)
- Variables (Declaration, Assignment, Overwrite, etc.,)
- Dynamic Types (How to change variable datatype on fly)
- Data Types (Integer, Float, Strings, etc.,)
- Type Casting (Convert from one datatype to another)
- Data Types Changes
- Strings (Characters, Strings or Text data)
- Boolean (True or False)
- Special Characters in a String
- Split and Strip Methods (Split a string or strip a string)
- Introduction to Lists (Data Structure)
- Lists Slicing (Get a chunk of the data)
- Lists - Built in Functions (Insert, Delete values)
- String and Boolean Lists (List containing only Strings, Boolean values, etc.,)
- Concatenate Strings Using Join Method (Concatenate two characters or strings using Join method)
- Mixed Lists (Mixed datatype values in a List)
- Add Two Lists (Combine two lists)
- Nested Lists (List inside another List)
- Introduction to Dictionary (Key / Value Pair Data Structure in Python)
- Dictionary & It's Methods (Available built-in methods in Python for Dictionary)
- Nested Dictionary (Dictionary inside another Dictionary)s
- Create Dictionary using Zip Method (Combine 2 Lists to create a Dicationary)
- Sets (Another form of Data Structure that doesn't allow Duplicates)
- Tuples
- If...Else..If Condition
- While Loop
- Range Method
- For Loop with Example
- While Loop with Example
- Lambda / Anonymous Function
- Reserved Keywords
- User defined functions
- File IO Operations
- ...........Lot More...
Who this course is for
Students, who want to learn Python Programming to get into Data Science or Machine Learning
Homepage
https://www.udemy.com/course/python-for-machine-learning-t