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It contains the task assigned me for my internship, the task was very simple, I just had to predict the marks of students using Machine Learning, it was very easy.

Home Page: https://lnkd.in/eyQKDW6

Jupyter Notebook 100.00%
machine-learning thesparksfoundation internship-task data-science data-analysis python python3 grip

tsf-tasks's Introduction

The Sparks Foundation - TASK 1

Contains data for internship of The Sparks Foundation.

TFS-GRIP-TASK-1

TASK:

  • To make a machine learning model that can predict the percentage of a student based on the no. of study hours.
  • Predict percentage of student who studies for 9.25 hrs.

Implementation:

To predict marks based on the number of hours of study, we will use Linear Regression Model in python of sklearn lib.
The model will take No. of Hours as input.
The output predicted by the model will be the percentage of the student.

Formula used:

y = (m * x) + b

Tools and Technology used:

  • Python 3.8
  • Jupyter Notebook

Example:

No. of Hours Studied : 9.25
Predicted Score : 92.39%

Youtube Video

Click Here

Thank you

I hope that you will like my work.

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