shubhsmore/grip-internship-task

GRIP-internship-task

Task - 1 : Prediction using Supervised ML

• 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?

Task - 2 : Prediction using Unsupervised ML

• From the given ‘Iris’ dataset, predict the optimum number of clusters and represent it visually.
• Use R or Python or perform this task
• Dataset : https://bit.ly/3kXTdox

Task - 3 : Exploratory Data Analysis - Retail

• Perform ‘Exploratory Data Analysis’ on dataset ‘SampleSuperstore’
• As a business manager, try to find out the weak areas where you can work to make more profit.
• What all business problems you can derive by exploring the data?
• You can choose any of the tool of your choice (Python/R/Tableau/PowerBI/Excel/SAP/SAS)
• Dataset: https://bit.ly/3i4rbWl