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.
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# 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.
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# 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.