ML Assignment-1 || (UE24CS2401) || House Price Prediction Using Machine Learning скачать в хорошем качестве

ML Assignment-1 || (UE24CS2401) || House Price Prediction Using Machine Learning

🏠 House Price Prediction Using Machine Learning | Code-Only Explanation (Linear & Decision Tree) 🔍 Welcome to our video on House Price Prediction using Machine Learning! In this code-focused video, we demonstrate how to use both Linear Regression and Decision Tree Regressor to predict house prices based on features like area, bedrooms, bathrooms, age, and distance. 💻 Code Highlights: ✅ Loading dataset using Pandas ✅ Splitting data into training & testing sets ✅ Training two models:  • Linear Regression  • Decision Tree Regressor ✅ Predicting and evaluating model performance using R² Score ✅ Visualizing actual vs predicted prices with Seaborn plots 📊 Tools Used: • Python • Pandas, Seaborn, Matplotlib • Scikit-learn (for ML models and metrics) 🎯 This video is perfect for students and beginners who want a hands-on look at how machine learning is applied to real-world problems — no theory, just pure code and output explanation! 📁 Dataset Used: house_prices_large.csv (Feel free to drop a comment if you need the dataset!) 👉 If you liked the video, don’t forget to like 👍, subscribe 🔔, and share 📤 for more cool ML projects! #MachineLearning #HousePricePrediction #LinearRegression #DecisionTree #MLProject #PythonProject #CodeOnly #DataScience #StudentProject #AI #MLWithPython