This is a simple linear regression model to predict the salary of a person based on years of experience. It draws the regression line against the dataset to show how well the model fits. This code does not use the scikit-learn library, I wanted to show how the calculations are done manually to make predictions.
The output will be like this: https://github.com/AbdelrahmanSherif-00000001/Python/blob/main/Screenshot%202025-08-17%20032838.png

what is needed to run and work: install matplotlib, pandas, numpy as next: pip install "library name"
to run it : python "filename".py

future work: add evaluation method to measure accuracy also might update and code it using scikit-learn what do you think and tell me how to add the image after adding it github in details as I can not do this