THE SPARKS FOUNDATION - SUPERVISED MACHINE LEARNING

TSF - SUPERVISED MACHINE LEARNING TASK - 1

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Google Colaboratory
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LinkedIn Posts - Submission | Completion

Task: To predict the percentage of a student based on the number of study hours.
- Simple Linear Regression is used as it involves just 2 variables.
- Output: To find predicted score if a student studies for 9.25 hrs/day.

TECHNOLOGIES AND LIBRARIES USED:

Python3, Pandas, Numpy, Matplotlib.pyplot, Seaborn.

👉🏻 Presented as a part of the Internship @ The Sparks Foundation 👈🏻

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