The Sparks Foundation 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 ( November-2020 )
• Internship Type - Work from Home

In this internship, we were provided a total of 6 Tasks and I was able to successfully complete all the 6 tasks within the given time-frame.

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

Please click on the images on right side to view my solution.

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-data
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?

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# Task-3 Exploratory Data Analysis - Retail : (Level - Beginner)

Please click on the images on right side to view my solution.

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)