TSF_GRIP21_DS_Task1- Prediction using Supervised ML

HII I am Pranjal Kalekar!! This repo contains a completed task provided by The Sparks Foundation to me under Graduate Rotational Internship Program This is 1st task under Data Science & Business Analytics Tasks. The Task is: Predict the percentage of an student based on the no. of study hours. ● This is a simple linear regression task as it involves just 2 variables. ● You can use R, Python, SAS Enterprise Miner or any other tool ● Data can be found at http://bit.ly/w-data ● What will be predicted score if a student studies for 9.25 hrs/ day? I thank The Sparks foundation for this opportunity. I am including data file within this repo as well.