Today we complete a full machine learning project and we go through the full data science process, to predict housing prices in Python.

◾◾◾◾◾◾◾◾◾◾◾◾◾◾◾◾◾
📚 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

🌐 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

🎵 Outro Music From: https://www.bensound.com/

Timestamps:
(0:00) Intro
(0:44) Loading Data Set
(6:32) Data Exploration
(13:24) Data Preprocessing
(19:54) Feature Engineering
(22:40) Linear Regression Model
(30:02) Random Forest Model
(40:06) Outro