This repository contains the code for a Machine Learning Linear Regression project as part of the internship under The Sparks Foundation's GRIP program.
The objective of this project is to implement and apply Linear Regression to predict percentage scores of students based on their study hours.
The project is organized as follows:
Prediction Using Supervised ML.ipynb: Jupyter Notebook containing the Python code for the Linear Regression analysis.https://raw.githubusercontent.com/AdiPersonalWorks/Random/master/student_scores%20-%20student_scores.csv: Dataset used for training and testing the model.README.md: This README file.
Make sure you have the following libraries installed to run the Jupyter Notebook:
- Python
- pandas
- Matplotlib
- scikit-learn
You can install these libraries using pip: