This project aims to create a simple linear regression model for predicting house prices. The dataset includes house features (NumRooms, Area, Location, YearBuilt) and actual house prices. In this project, a linear regression model has been built using the Python programming language to predict house prices.
The dataset is available in the "dataset.csv" file. This CSV file contains 100 records of houses, each including house features and actual house prices.
To get started, upload the "dataset.csv" file in a local development environment or a platform like Google Colab. You can then perform data analysis and build the linear regression model using the provided Python script.
To install the required libraries when running the project, use the following command: pip3 install pandas numpy scikit-learn matplotlib
For any questions or suggestions, feel free to reach out:
- LinkedIn: Mustafa Mert Çolak
- YouTube: Mert Çolak