Python in Machine Learning Basics – 21 Day Course 🚀

Welcome to the official source code repository for NexYug Tech's 21-Day Python in ML Basics course!

Led by Mentor Maneev Arora (Days 1–11) and Moksh Sir (Days 12–21), this course blends foundational Python programming with practical machine learning applications.

📚 Syllabus Overview

🧠 Part 1: Python Programming Fundamentals (Days 1–11)

• Day 01: Setup VS Code & Python + Cool Extensions
• Day 02: Python Basics & Terminology
• Day 03: Character Set, First Program & print() Statements
• Day 04: Variables, Datatypes, Keywords & Rules
• Day 05: String Operations (Basic + Advanced)
• Day 06: Conditional Statements + Mini Project
• Day 07: Lists + Operations + Mini Project
• Day 08: Tuples + Mini Project
• Day 09: Dictionaries + Methods + Mini Project
• Day 10: Sets + Methods + Mini Project

🤖 Part 2: Machine Learning & Tools (Days 11–21)

• Day 11: OOPS (Object Oriented programming)
• Day 12: File Handling (Read, Write, Append)
• Day 13: ML Intro, Use Cases, Lifecycle & Jupyter Setup
• Day 14: NumPy & Pandas for Data Handling
• Day 15: Matplotlib & Seaborn for Visualization
• Day 16: Linear Regression with scikit-learn
• Day 17: Logistic Regression
• Day 18: KNN Algorithm
• Day 19: K-Means Clustering
• Day 20: Diabetes Prediction Model
• Day 21: GUI for Diabetes Prediction Model

What You'll Find Here

• Daily folders with source codes 🧑‍💻
• Jupyter notebooks for projects 📓
• Practice exercises and quizzes 📊

Contribute

Open to contributions! Share enhancements, fixes, or your own take on projects.

Learn More

This is our official company website – visit NexYug Tech.