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
YouTube: 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
YouTube: 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
YouTube: Exploratory Data Analysis-Retail

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
YouTube: 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 : deliveries.csv matches.csv
  

Solution: Exploratory Data Analysis - Sports
YouTube: Exploratory Data Analysis - Sports