Prediction using Supervised ML (Level - Beginner) ● 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:
- Host the code on GitHub Repository (public). Record the code and output in a video. Post the video on YouTube
- Share links of code (GitHub) and video (YouTube) as a post on YOUR LinkedIn profile, not TSF Network.
- Submit the LinkedIn link in Task Submission Form when shared.