Dataset from https://www.kaggle.com/himanshupoddar/zomato-bangalore-restaurants

Table of Contents

1. Import Libraries
2. Read Data
3. Check data
   • Check NULLs
   • Drop attributes that are not required
   • Rename columns
4. Exploratory Data Analysis
   • Plot Restaurant Names vs No of locations
   • Plot Online vs Offline Orders
   • Plot Book Table Facility Counts
   • Plot location with highest no of restaurants
   • Plot location with highest no of restaurant percentage
   • Plot highest no of restaurant types in percentage
   • Plot Restaurent type vs Rate
   • Plot avg cost for 2 persons in percentage
   • Plot most liked dish-type
5. Get Correlation between different variables
6. Create model to predict restaurant rating
   • Drop columns not required
   • Replace NaNs
7. Create Dummies
8. Create train and test data
9. Linear Regression
10. Ridge Regression
11. Lasso Regression
12. Random Forest
13. Decision Tree
14. SVM
15. KNN
16. ExtraTreesRegressor
17. Actual vs Predcted Test Data for ExtraTreesRegressor
18. Get most important features and their contribution in model
19. Conclusion