The Sparks Foundation Tasks

This repository contains the tasks that I have 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

# 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
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-6 : Prediction using Decision Tree Algorithm(Level - Intermediate)

1. For the given ‘Iris’ dataset, 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