The-Spark-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 ( August-2021 )
• Internship Type - Work from Home

In this internship, we are provided a total of 6 Tasks.

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# 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 Sample Super Store Data as Business Manager (Level - Beginner & 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

# Task-4 : To Explore the IPL Data As a sports analtics (Level - Intermediate)

As a sports analysts, find out the most successful teams, players and factors contributing win or loss of a team.

Suggest teams or players a company should endorse for its products

Dataset: https://bit.ly/34SRn3b

Thank You!!