Linear Regression on Housing Price Dataset | GTU MCA Sem 3 ML Practical

📊 In this video, we implement **Linear Regression** on the **Housing Price Dataset** using Python. This is a hands-on tutorial specially designed for **GTU MCA Semester 3 Machine Learning Practical** students.

We cover:
✅ Loading and preprocessing the dataset
✅ Applying Linear Regression
✅ Evaluating the model using MSE and R² score
✅ Visualizing the prediction results

📁 Dataset used: Housing Price Dataset
🔗 Download link: https://www.kaggle.com/code/mariamezzathammam/housing-price-dataset/input

📌 Perfect for students preparing for GTU lab exams, viva, and practical submissions.

📘 Programming Language: Python
📚 Tools: pandas, sklearn, matplotlib

👉 Don’t forget to **Like**, **Share**, and **Subscribe** for more MCA practical tutorials.

#GTUMCA #MachineLearning #LinearRegression #PythonTutorial #HousingDataset #GTUSem3 #MLPractical

Видео Linear Regression on Housing Price Dataset | GTU MCA Sem 3 ML Practical канала LokmanyaBCAMCA