Data Science and Analytics Internship at The Sparks Foundation This repository contains all the tasks for the Data Science and Analytics Intern at The Sparks Foundation. TASK-1 Improve our LinkedIn profile. TASK-2 To Explore Supervised Machine Learning In this regression task we will predict the percentage of marks that a student is expected to score based upon the number of hours they studied. This is a simple linear regression task as it involves just two variables. TASK-3 To Explore Unsupervised Machine Learning From the given ‘Iris’ dataset, predict the optimum number of clusters and represent it visually. TASK-4 To Explore Decision Tree Algorithm 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. TASK-5 To explore Business Analytics Perform ‘Exploratory Data Analysis’ on the provided dataset ‘SampleSuperstore’. You are the business owner of the retail firm and want to see how your company is performing. You are interested in finding out the weak areas where you can work to make more profit. What all business problems you can derive by looking into the data? You can choose any of the tool of your choice (Python/R/Tableau/PowerBI/Excel)