Internship-Tasks

This is one of the tasks given to us in the internship we are doing with The Sparks Foundation i.e GRIP(Graduate Rotational Internship Program )

Task1

Prediction using Supervised ML

● Predict the percentage of an student based on the no. of study hours.

● What will be predicted score if a student studies for 9.25 hrs/ day?

● This is a simple linear regression task as it involves just 2 variables.

● Dataset : http://bit.ly/w-data

Task2

Prediction using Unsupervised ML

● From the given ‘Iris’ dataset, predict the optimum number of clusters and represent it visually.

● Dataset : https://bit.ly/3kXTdox

Task 3

Exploratory Data Analysis

● Perform ‘Exploratory Data Analysis’ on dataset ‘SampleSuperstore’

● As a business manager, try to find out the weak areas where you can work to make more profit.

● What all business problems you can derive by exploring the data?

● Dataset: https://bit.ly/3i4rbWl

Task 4

Exploratory Data Analysis-Terrorism

● 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?

● Dataset: https://bit.ly/2TK5Xn5

Task 5

Exploratory Data Analysis - Sports

● Perform ‘Exploratory Data Analysis’ on dataset ‘Indian Premier League’

● As a sports analysts, find out the most successful teams, players and factors contributing win or loss of a team.

● Suggest teams or players a company should endorse for its products.

● Dataset:https://bit.ly/34SRn3b

Task 6

Prediction using Decision Tree Algorithm

● 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

Task 7

Stock Market Prediction using Numerical and Textual Analysis

● Objective: Create a hybrid model for stock price/performance prediction using numerical analysis of historical stock prices, and sentimental analysis of news headlines

● Stock to analyze and predict - SENSEX (S&P BSE SENSEX)

● Download historical stock prices from finance.yahoo.com

● Download textual (news) data from https://bit.ly/36fFPI6

Task 8

Timeline Analysis : Covid-19

● Create a storyboard showing spread of Covid-19 cases in your country or any region (Asia, Europe, BRICS etc) using Tableau, Power BI or SAP

● Use animation, timeline and annotations to create attractive and interactive dashboards and story

● Identify interesting patterns and possible reasons helping Covid-19 spread with basic as well as advanced charts

● Screen-record the completed storyboard along with your audio explaining the charts and giving recommendations.

● Dataset: Daily updated .csv file on https://bit.ly/30d2gdi