You have to perform the following tasks:

• Data Cleaning:

  • Deleting redundant columns.
  • Renaming the columns.
  • Dropping duplicates.
  • Cleaning individual columns.
  • Remove the NaN values from the dataset
  • Check for some more Transformations

• Data Visualization:

  • Restaurants delivering Online or not
  • Restaurants allowing table booking or not
  • Table booking Rate vs Rate
  • Best Location
  • Relation between Location and Rating
  • Restaurant Type
  • Gaussian Rest type and Rating
  • Types of Services
  • Relation between Type and Rating
  • Cost of Restaurant
  • No. of restaurants in a Location
  • Restaurant type
  • Most famous restaurant chains in Bengaluru

• Regression Analysis:

  • Linear Regression
  • Decision Tree Regression
  • Random Forest Regression