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-2021 ) 📆
- Internship Type - Work from Home 🏠
Click on the icon on right side to view my submission.
- Predict the percentage of an student based on the no. of study hours.
- This is a simple linear regression task as it involves just 2 variables.
- You can use R, Python, SAS Enterprise Miner or any other tool
- Data can be found at http://bit.ly/w-data
- What will be predicted score if a student studies for 9.25 hrs/ day?
Click on the icon on right side to view my submission.
- From the given ‘Iris’ dataset, predict the optimum number of clusters and represent it visually.
- Use R or Python or perform this task
- Dataset : https://bit.ly/3kXTdox
Click on the icon on right side to view my submission.
- For the given ‘Iris’ dataset, create the Decision Tree classifier and visualize it graphically.
- The purpose is if we feed any new data to this classifier, it would be able to predict the right class accordingly.
- Data can be found at https://bit.ly/3kXTdox
Click on the icons on right side to view my submission.
- Perform ‘Exploratory Data Analysis’ on the provided dataset ‘SampleSuperstore’
- As a business manager, try to find out the weak areas where you can work to make more profit.
- What all business problems you can derive by exploring the data?
- You can choose any of the tool of your choice (Python/R/Tableau/PowerBI/Excel)
- Dataset link :https://bit.ly/3i4rbWl
- Create storyboards. Screen record along with your audio explaining the charts and interpretations.