vmd7 / students-score-prediction

This is simple and easy Machine Learning model. In this we have to predict the score of a student based on his/her study hours. This is supervised learning problem. So, I used simple Linear Regression algorithm. Also, I deployed this model on Heroku.

Students Scores Prediction From Their Study Hours

This is Task1 of The Sparks Foundation GRIP. This is simple linear regression type problem.

In this repository I used linear regression algorithm to identify the score of a student from his/her study hours.

Also, I deployed this Machine Learning model on Heroku and created a Web-App (https://sspredictor.herokuapp.com/).

Code of Score Prediction Model

To understand this repository follow the below steps:

1. First Clone, Fork or Download this repository or you can run Task1.ipynb on Google Colab.

2. The dataset used is (http://bit.ly/w-data).

3. Now, you can run Task1.ipynb or Task1_app.ipynb file locally or online.

4. All, the uses and instructions are written in code file itself.

You can check the deployed App on https://sspredictor.herokuapp.com/