The Sparks Foundation - Data Science and Business Analytics Internship Tasks

This repository contains the tasks that I completed while working as an intern for The Sparks Foundation GRIP (Graduate Rotational Internship Program).

• Internship Category - Data Science and Business Analytics
• Internship Duration - 1 Month ( April -2022 )
• Internship Type - Virtual/Remote

In this internship, we were provided a total of 8 Tasks and only 1 task needed to submitted for completion certificate however i managed to finish 4 tasks.

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

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

• Predict the percentage of marks of an student based on the number of study hours.
• This is a simple linear regression task as it involves just 2 variables.
• Used Python pandas, numpy, plotly & sklearn.

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

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

• From the given ‘Iris’ dataset, predict the optimum number of clusters and represent it visually.
• Used Python pandas, numpy, plotly & sklearn.

[](Youtubelink Here)

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

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

• 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 the business problems you can derivce by exploring the data?
• Used Python pandas & plotly.

[](Youtubelink Here)

# Task 4 : Exploratory Data Analysis - Terrorism (Level - Intermediate)

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

• Perform 'Exploratory Data Analysis' on dataset 'Global Terrorism'.
• As a security/defense analyst, try to find out the hot zone of terrorism.
• What all secuirty issues and insights you can derivce by EDA?
• Used Python pandas & plotly.