Predicting mode of Transport using R

The attached data '[login to view URL]' includes employee information about their mode of transport as well as their personal and professional details like age, salary, work exp. We need to predict whether or not an employee will use Car as a mode of transport. Also, which variables are a significant predictor behind this decision. Following needs to be submitted for the project: 1.] EDA a)Perform an EDA on the data b)Illustrate the insights based on EDA c)Check for Multicollinearity - Plot the graph based on Multicollinearity & treat it 2]Data Preparation 3]Prepare the data for analysis (SMOTE) 4] Modeling a)Create multiple models and explore how each model perform using appropriate model performance metrics i}KNN ii}Naive Bayes (is it applicable here? comment and if it is not applicable, how can you build an NB model in this case?) iii}Logistic Regression Apply both bagging and boosting modeling procedures to create 2 models and compare its accuracy with the best model of the above step. 5] Actionable Insights & Recommendations (5 Marks) Note: The Excel Data file will be provided to the successful bidder The project has to be completed using R 2 Documents needs to be submitted - Word Document with all the insights and the complete R code