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

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