Today we implement Linear Regression from scratch in Python using the closed-form solution. We first cover the mathematical theory and then we move on to the coding.

Code: https://github.com/NeuralNine/youtube-tutorials/tree/main/Linear%20Regression%20Closed
Linear Regression with Gradient Descent Video: https://www.youtube.com/watch?v=VmbA0pi2cRQ

◾◾◾◾◾◾◾◾◾◾◾◾◾◾◾◾◾
📚 Programming Books & Merch 📚
🐍 The Python Bible Book: https://www.neuralnine.com/books/
💻 The Algorithm Bible Book: https://www.neuralnine.com/books/
👕 Programming Merch: https://www.neuralnine.com/shop

💼 Services 💼
💻 Freelancing & Tutoring: https://www.neuralnine.com/services

🖥️ Setup & Gear 🖥️: https://neuralnine.com/extras/

🌐 Social Media & Contact 🌐 
📱 Website: https://www.neuralnine.com/
📷 Instagram: https://www.instagram.com/neuralnine
🐦 Twitter: https://twitter.com/neuralnine
🤵 LinkedIn: https://www.linkedin.com/company/neuralnine/
📁 GitHub: https://github.com/NeuralNine 
🎙 Discord: https://discord.gg/JU4xr8U3dm

Timestamps:
(0:00) Intro
(0:38) Mathematical Theory
(18:42) Python Implementation
(26:36) Outro

Linear Regression From Scratch in Python (Mathematical, Closed-Form)