Day 2 of 10 — I asked Python to predict house prices. It was off by ₹27 lakhs. 😳 That sounds bad until you realise: → It used 15 lines of code → It analysed 20,640 homes → R² score of 0.60 — not bad for a linear model What I built today: 📊 Linear Regression on California Housing Dataset 📊 Mean Absolute Error calculation 📊 Model evaluation with real numbers This exact concept powers NoBroker, MagicBricks, and every bank that does automated property valuation in India. 8 days left in the challenge. Comment ‘HOUSE’ for the full code in your DMs 👇 MachineLearning #Python #HousePricePrediction #LinearRegression #sklearn #DataScience PythonProjects RegressionAnalysis MLBeginner PythonTutorial AIProjects 100DaysOfCode MLDay2 10DayChallenge aartiipy RealEstateAI DataScienceIndia PythonIndia MLProjects CodingChallenge house price prediction Python 🔑 ML regression beginner 🔑 linear regression sklearn 🔑 train test split regression 🔑 california housing dat...