Python Basics for Machine Learning 🐍🤖

This repository contains my Python learning journey as I prepare to study Machine Learning (ML).

I recently started learning Python and have uploaded basic practice programs. More advanced concepts and ML-related libraries will be added step by step.

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📚 Learning Purpose

The main goal of this repository is to:

• Build a strong Python foundation
• Understand core programming concepts
• Prepare for Machine Learning and Data Science
• Practice regularly and track progress

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📂 Current Topics

• Basic syntax
• Variables and data types
• Input and output
• Conditional statements
• Loops
• Simple functions

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🚀 Upcoming Topics (Will Be Added Gradually)

🔹 Core Python

• Functions (advanced)
• Lists, Tuples, Sets, Dictionaries
• String manipulation
• File handling
• Exception handling
• Object-Oriented Programming (Classes & Objects)
• Modules and Packages

🔹 Python for Machine Learning

• NumPy
• Pandas
• Matplotlib
• Seaborn
• Scikit-learn
• Basic data preprocessing
• Working with datasets

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🛠 Tech Stack

• Language: Python
• IDE: VS Code

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🎯 Long-Term Goal

• Learn Python deeply
• Transition into Machine Learning
• Build ML models in future repositories
• Create real-world AI/ML projects

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📈 Learning Status

• Beginner level
• Actively learning and updating
• Repository will grow over time

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⚠ Note

This is a learning-focused repository. Code may be simple, as the goal is to understand fundamentals before moving to ML.

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⭐ This repository marks the beginning of my journey toward Machine Learning.