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The Sparks 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 ( October-2021 )
  • Internship Type - Work from Home

# 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-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?

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

  1. From the given β€˜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

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

  1. As a business manager, try to find out the weak areas where you can work to make more profit.
  2. What all business problems you can derive by exploring the data?
  3. Dash Boards- explaining the charts and interpretations
  4. DataSet : https://bit.ly/3i4rbWl

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

  1. As a Security / Defense Analyst, try to find out the hot zone of terrorism.
  2. What all security issues and insights you can derive by EDA?
  3. Dash Boards- explaining the charts and interpretations
  4. DataSet : https://bit.ly/2TK5Xn5

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