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Task 01 Prediction using Supervised ML TSF GRIP tasks #1
TSF | GRIP | Task 1 : Prediction Using Supervised ML
Task 1: Prediction using Supervised ML | GRIP | TSF
Task 1 TSF GRIP Linear Regression(Supervised Machine Learning)
GRIP TSF Task 1- Prediction using Supervised ML
GRIP-TSF Task1 (Prediction using Supervised Machine Learning)
TSF GRIP Task 1 Prediction using supervised ML task 1
Task 01 Prediction using Supervised ML TSF GRIP tasks #1
Task 1 TSF | Prediction using Supervised ML | The Sparks Foundation | GRIP | FEB2021
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Last Updated: October 2, 2026
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Summary
This video explain the Python program for predicting using Problem Statement - Predict the percentage of a student based on the number of study hours Algorithm used : Linear Regression ... This is my first Machine Learning Project at The Sparks Foundation. It is a data model that includes the number of hours studied ... Predicted the percentage of a student based on the no. of study hours. This is a simple linear regression Graduate Rotational Internship Program ( Predicting the percentage of an student based on the number of study hours. Using machine learning technique predicting scores of students.