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:

First Clone, Fork or Download this repository or you can run Task1.ipynb on Google Colab.
The dataset used is (http://bit.ly/w-data).
Now, you can run Task1.ipynb or Task1_app.ipynb file locally or online.
All, the uses and instructions are written in code file itself.

Name		Name	Last commit message	Last commit date
Latest commit History 18 Commits
templates		templates
Procfile		Procfile
README.md		README.md
Task1.ipynb		Task1.ipynb
Task1_app.ipynb		Task1_app.ipynb
app.py		app.py
model.pkl		model.pkl
requirements.txt		requirements.txt