README.md

Python Learning Journey Repository

Welcome to my Python learning journey repository! This space chronicles my progress and exploration in the world of Python programming, covering a variety of topics from basic syntax to advanced concepts, including data handling, algorithms, and machine learning. Dive into the different notebooks and projects to witness my growth and understanding of Python.

Table of Contents

1. Fundamentals
2. Data Handling and Analysis
3. Algorithms and Data Structures
4. Python Programming Topics
5. Machine Learning
6. Visualization and Images

Fundamentals

• Python Data Structures
• Python List Comprehension
• Python Advanced String Formatting
• Function, Positional, Key Arguments
• OOPS Tutorial - Classes, Variables, Methods, and Objects
• ...

Data Handling and Analysis

• Pandas Introduction
• Exploratory Data Analysis with Pyforest
• Seoul Bike Data Analysis
• Covid-19 Data Analysis
• ...

Algorithms and Data Structures

• Linear Search Algorithm
• Binary Search Algorithm
• Bubble Sort Algorithm
• Selection Sort Algorithm
• ...

Python Programming Topics

• Exception Handling
• Introduction to Pyforest
• Working with Matplotlib
• TensorFlow Basics
• ...

Machine Learning

• Classification
• Linear Regression
• Neural Network
• Support Vector Machine
• Principal Component Analysis
• ...

Visualization and Images

• Scatter Plot
• Activation Functions
• Homoscedasticity
• ReLU Function
• Sigmoid Function
• ...

Contribution

Feel free to contribute, provide feedback, or suggest improvements. This repository is a documentation of my Python learning journey, covering both fundamental concepts and practical applications in machine learning. I welcome any insights or recommendations that can enhance my understanding and proficiency in Python.

Happy coding and learning! 🐍🚀