Python Numpy: Machine Learning & Data Science Course

1
Course Overview
- Course Overview
2
Python Setup
- Installing Anaconda for Windows
- Installing Anaconda for Mac
- Let's Meet Jupyter Notebook for Windows
- Basics of Jupyter Notebook for Mac
3
Fundamentals of Python
- 6 - Data Types in Python
- 7 - Operators in Python
- 8 - Conditionals
- 9 - Loops
- 10 - Lists, Tuples, Dictionaries and Sets
- 11 - Data Type Operators and Methods
- 12 - Modules in Python
- 13 - Functions in Python
- 14 - Exercise Analyse
- 15 - Exercise Solution
4
Object Oriented Programming
- Logic of OOP
- Constructor
- Methods
- Inheritance
- Overriding and Overloading
5
Numpy Library
- What is Numpy?
- Why Numpy?
- Array and Features
- Array’s Operators
- Numpy Functions
- Indexing and Slicing
- Numpy Exercises
- NumExpr Guide
- Using Numpy with Creating Neural Network
- Using Numpy in Linear Algebra