Problem statement :

• 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.
  
• What will be predicted score if a student studies for 9.25 hrs/ day?
  
• Here is the dataset : Dataset.csv
  
  

Solution: Prediction using Supervised ML

Demo: Prediction using Supervised ML

Problem Statement:

• From the given ‘Iris’ dataset, predict the optimum number of clusters and represent it visually.
  
• Use R or Python or perform this task
  
• Here is the dataset : Dataset.csv
  
  

Solution: Prediction using UnSupervised ML

Demo: Prediction using Unsupervised ML

Problem Statement:

• Perform ‘Exploratory Data Analysis’ on dataset ‘Retail(Dataset).csv’
  
• 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?
  
• You can choose any of the tool of your choice
  (Python/R/Tableau/PowerBI/Excel/SAP/SAS)
  
• Here is the dataset : Dataset.csv
  
  
  

Solution: Exploratory Data Analysis-Retail

Demo: Exploratory Data Analysis-Retail

Problem Statement:

• 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.
  
• Use R or Python or perform this task
  
• Here is the dataset : Dataset.csv
  
  

Solution: Prediction using DecisionTreeAlgorithm

Demo: Prediction using Decision Tree Algorithm

Problem Statement:

• Perform ‘explore Business Analytics’ on dataset ‘superstore.csv’
  

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

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

• Here is the dataset : Dataset.csv
  

Solution: To explore Business Analytics

Demo: To explore Business Analytics

Problem Statement:

• 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)
  
• Here is the dataset : Dataset.csv
  

Solution: Exploratory Data Analysis - Terrorism

Demo: Exploratory Data Analysis - Terrorism

Problem Statement:

• 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.
  
• You can choose any of the tool of your choice (Python/R/Tableau/PowerBI/Excel/SAP/SAS)
  
• Here is the dataset : Dataset.csv
  

Solution: Exploratory Data Analysis - Sports

Demo: Exploratory Data Analysis - Sports

Problem Statement:

• 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)
  
• Use either R or Python, or both for separate analysis and then combine the findings to create a hybrid model
  
• You are free to select a different stock to analyze and news dataset as well while not changing the objective of the task.
  
• Here is the dataset :
  • Download historical stock prices from finance.yahoo.com
    
  • Download textual (news) data from https://bit.ly/36fFPI6
    

Solution: Stock Market Prediction using Numerical and Textual Analysis

Demo: Stock Market Prediction using Numerical and Textual Analysis

Problem Statement:

• 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
  

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

• Here is the dataset :

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

Solution: Timeline Analysis : Covid-19

Demo: Timeline Analysis : Covid-19

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