TSF-Grip-Internship-Tasks

This repository contains the tasks that I completed while working as an intern for The Sparks Foundation.

• Internship Category - Data Science and Business Analytics
• Internship Duration - 1 Month ( June-2023 )
• Internship Type - Remote

Task-1 : Prediction using Supervised ML (Level - Beginner)

1. Predict the percentage of marks of an student based on the number of study hours.
2. This is a simple linear regression task as it involves just 2 variables.
3. Data can be found at http://bit.ly/w
4. You can use R, Python, SAS Enterprise Miner or any other tool.
5. What will be predicted score if a student studies for 9.25 hrs/ day?

Task-2 : Prediction using Unsupervised ML (Level - Beginner)

1. From the given ‘Iris’ dataset, predict the optimum number of clusters and represent it visually.
2. Use R or Python or perform this task.
3. Data can be found at https://bit.ly/3cGyP8j

Task-3 : To Explore Business Analytics (Level - Intermediate)

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