In this project, we create a simple linear regression model that predicts the salary from a person's experience (measured in years), using the gradiant descent algorithm. The data that we work with is taken from Kaggle (https://www.kaggle.com/datasets/krishnaraj30/salary-prediction-data-simple-linear-regression).
- Python
Install Python 3.9 or higher. Create a virtual environment with:
python3 -m venv <virtual-environment-name>
Example: To create a virtual environment called linear-regression, use
python3 -m venv linear-regression
Activate the virtual environment with:
source <path-to-virtual-environment>/bin/activate
The virtual environment can be deactivated with:
deactivate
- Jupyter Notebook
Install Jupyter Notebook with:
pip install notebook
To run the notebook:
jupyter notebook
- Additional Requirements
Install the necessary packages listed in requirements.txt via:
pip install -r requirements.txt