ML Programming Notes 🐍✨

This repository contains comprehensive notes and code examples for learning Machine Learning programming concepts.

Topics Covered:

Lecture 1: Introduction to Python Programming

• Introduction to Python
• Introduction to the Kaggle Platform
• Python Fundamentals (Variables, Data Types - Lists, Tuples, Set, Dictionary, Working with print statement)

Lecture 2:

• Python Fundamentals (Functions, Conditional Statements, Loops - for, while)
• Numpy Library

Lecture 3:

• Pandas Library
• Matplotlib Library

Lecture 4:

• Seaborn Library
• Sklearn Library
• EDA on Netflix Dataset

Lecture 5:

• EDA on Amazon Prime Dataset

Lecture 6:

• Advanced EDA on Loan ELgibility Prediction Data

Extra Resources

• Sympy Library
• Scipy Library

Stay tuned for additional lectures! 🚀📚

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