Скачать или смотреть House Price Prediction using Linear Regression | Kaggle Dataset

Welcome to Digital Neurons 💡 – Today we’re showcasing our Machine Learning Project where we predict house prices using the Linear Regression algorithm on the famous Kaggle dataset.

📌 In this video, you’ll see:
✅ Understanding the Kaggle dataset (features & target variable)
✅ Data preprocessing & cleaning
✅ Splitting dataset into train & test sets
✅ Building a Linear Regression model in Python
✅ Predicting house prices for new data

🔹 Why this project is important:
House price prediction is a classic machine learning problem that’s widely used in the real estate industry to make data-driven decisions.
It’s also a great starting point for beginners to understand regression models.

💻 Tech Stack Used:
Python (Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn)
Jupyter Notebook
Kaggle Dataset

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