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 )
● 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
● From the given ‘Iris’ dataset, predict the optimum number of clusters and represent it visually.
● Dataset : https://bit.ly/3kXTdox
● 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
● 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
● 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
● 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
● 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
● 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