THE SPARKS FOUNDATION - SUPERVISED MACHINE LEARNING

TSF - SUPERVISED MACHINE LEARNING TASK - 1

• YouTube Video

• Google Colaboratory

• Kaggle

• LinkedIn Posts - Submission | Completion

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• 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.

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