Marks Prediction System uing linear regression based on hour of study correlated with number obtained by student

This program prompts students to input their pass, defer, and fail credits and predicts their academic progression. It displays the outcome with a vertical histogram and saves the input data as a text file.

This repository is about the prediction of marks scored by a student after studying for a certain number of hours.

This is a machine learning model that predicts the marks of students based on the hours they study using linear regression

Implementing machine learning models on web using flask. We are doing Marks prediction on Web Deployment in Flask

Linear regression is used to predict the marks based on the time spent on studying, this is just to demonstrate the use of linear regression. Data used is also provided in csv format.