This repository contains all the solutions for the task provided by the spark foundation internship for Fed 2021

web link

Prediction using Supervised ML

(Level - Beginner)

● 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? LINK

Prediction using Unsupervised ML

(Level - Beginner)

● 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 Link

Exploratory Data Analysis - Terrorism

(Level - Intermediate)

● Perform ‘Exploratory Data Analysis’ on dataset ‘Global Terrorism’

● As a security/defense analyst, try to find out the hot zone of terrorism.

● What all security issues and insights you can derive by EDA?

● You can choose any of the tool of your choice (Python/R/Tableau/PowerBI/Excel/SAP/SAS)

● Dataset: https://bit.ly/2TK5Xn5

Link

Prediction using Decision Tree

Algorithm (Level - Intermediate)

● 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.

● Dataset : https://bit.ly/3kXTdox

Link