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This repository contains the tasks that I completed while working as an intern for The Sparks Foundation.

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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 ( January-2021 )
  • Internship Type - Work from Home

In this internship, I had accomplished 5 task within the given Time-frame.

# Task :
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-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?
    Click Here -To view This Task

# Task :
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/3kXTdox
    Click Here -To view This Task

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

  1. Perform ‘Exploratory Data Analysis’ on 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/SAP/SAS)
  5. Data can be found at https://bit.ly/3i4rbWl
  6. Create storyboards.
    Click Here -To view this Task

# Task :
Prediction using Decision Tree Algorithm (Level - Intermediate)

  1. Create the Decision Tree classifier and visualize it graphically.
  2. The purpose is if we feed any new data to this classifier, it would be able to predict the right class accordingly.
  3. Data can be found at https://bit.ly/3kXTdox
    Click Here -To view this Task

# Task :
Timeline Analysis : Covid-19 (Level - Advanced)

  1. Create a storyboard showing spread of Covid 19 cases in your country or any region (Asia, Europe, BRICS etc)
  2. Use animation, timeline and annotations to create attractive and interactive dashboards and story
  3. Identify interesting patterns and possible reasons helping Covid 19 spread with basic as well as advanced charts
  4. Use Tableau or Power BI for this task
  5. Screen record the completed storyboard along with your audio explaining the charts and giving recommendations.
  6. Updated Data can be found at https://bit.ly/30d2gdi
    Click Here -To view this Task

References -

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This repository contains the tasks that I completed while working as an intern for The Sparks Foundation.

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