Score Predictor - Prediction using Supervised ML

TSF GRIP DATA SCIENCE AND BUSINESS ANALYTICS INTERN TASK 1

Author : VISHAL RAMESH PATIL

Predicting the percentage marks of a student based on the number of study hours

Contents

• About Author
• Problem Statement
• Packages Used
• Prerequisites

About Author

Hello reader! I'm Vishal Patil an Electrical Engineering student at VJTI - Mumbai and a Coder by Heart!

I am a growing candidate in learning from day-to-day experiences. I give my 100 % in whatever I do to accomplish the goals.

Problem Statement

Predicting the percentage of a student based on the number of study hours. This is a simple linear regression task as it involves just 2 variables.

Packages Used

1. Python

pip install python

2. Pandas

pip install pandas

3. Numpy

pip install numpy

4. Matplotlib

pip install -U matplotlib

5. Scikit-Learn

pip install -U scikit-learn

Prerequisites

Basic knowledge of working in python. Familiarity with the Pandas library of Python. Matplotlib and Numpy basics will do it for you. Linear regression is a must.

Video Explanation