/TSF-Internship-MLProject

A Linear Regression model to predict the Score for a perticular Study hour /per day.

Primary LanguageJupyter Notebook

Score Prediction Using Supervised Machine Learning

  • 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?

  • Sample Solution: https://bit.ly/2HxiGGJ

Task submission:

  1. Host the code on GitHub Repository (public). Record the code and output in a video. Post the video on YouTube

  2. Share links of code (GitHub) and video (YouTube) as a post on YOUR LinkedIn profile, not TSF Network.

  3. Submit the Linkedin link in Task Submission Form when shared