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Sparks Foundation Task - 1 (GRIPFEB21) Data Science and Business Analytics Intern | Libraries used - sklearn , numpy , pandas and matplotlib

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The Sparks Foundation - Machine Learning Task 1

This repository consist of the tasks given during my internship at The Sparks Foundation.

About The Sparks Foundation

The Sparks Foundation mission is to inspire students, help them innovate, and let them integrate to build the next generation humankind. To inspire, motivate, and encourage students to learn, create, and help build a better society. To teach new ways of thinking, to innovate and solve the problems on their own. We help the students to integrate and help each other, learn from each other, and do well together.

Their Vision Statement : A world of enabled and connected little minds, building future. Our Mission Statement To inspire students, help them innovate and let them integrate to build the next generation humankind.

TASKS

Task 1 - Exploring Supervised Machine Learning

In this regression task we will predict the percentage of marks that a student is expected to score based upon the number of hours they studied.
This is a simple linear regression task as it involves just two variables. Data can be found at http://bit.ly/w-data.
What will be predicted score if a student study for 9.25 hrs in a day? 

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Acknowledgments

  • Special Thanks to The Sparks Foundation for this Wonderful Internship Experience and Inspiration to do more.

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Sparks Foundation Task - 1 (GRIPFEB21) Data Science and Business Analytics Intern | Libraries used - sklearn , numpy , pandas and matplotlib

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