course-flow.md

🌊 Course Flow

Introduction to Python

1. Print Statement
2. Strings
3. Variables
4. Comments
5. Data Types
6. Taking User Input
7. Taking Integer Input

Operators

1. Arithmetic Operators
2. Operator Shorthand
3. Logical Operators

Conditional Logic

1. Truthy Falsy Values
2. If Else Statements
3. Ternary Operator

Loops

1. While Loop
2. Range Object
3. For Loop
4. Iterating over strings
5. The continue and break statements

Functions

1. The return keyword
2. Multiple Return variables
3. Default Arguments

Lists

1. Indexing
2. Updating values in a List
3. Slicing
4. Adding Items
5. Removing Items
6. Sorting Lists
7. Iterating over List
8. List Comprehension
9. Complex Lists
10. Taking List Input
11. The map operator
12. Tuples

Dictionary

1. Accessing Items
2. Updating items
3. Removing Items
4. Iterating over keys
5. Iterating over values
6. Iterating over items
7. Complex Dictionaries

Packages

1. Inbuilt Functions
2. Inbuilt Packages

Important Libraries

1. Introduction to Numpy
2. Introduction To Matplotlib
3. Drawing Multiple Plots
4. Introduction To Pandas Tutorial
5. Working With The Stack Overflow Data Using Pandas
6. Plotting Pandas Data Using Matplotlib
7. Vectorization In Numpy

Regression in Machine Learning

1. Linear Regression
2. Multi Linear Regression
3. Logistic Regression

Deep Learning

1. Numpy Basics For Deep Learning
2. Logistic Regression As A Neural Network
3. Planar Classification With 1 Hidden Layer
4. Building Neural Network Step By Step
5. Deep Neural Network Application (Building a Neural Network Classifier)