Data Science
Predict if a customer is likely to buy travel insurance using R
Predict if a customer would be interested in taking up a travel insurance policy based on their personal data.
About this Menternship
Opportunity:
There are many things that we own that break or malfunction in some way - mobile screens, eyewear, cycles. But did you know that you can insure these as well? With the advent of microinsurance, it is no longer only the bigger things that are covered. Toffee insurance, an emerging microinsurance company offers insurance policies that cover pets and cycles to travel and domestic help! Started in 2017, Toffee insurance’s transparency and prompt response has gained them a loyal customer base.

Problem:
Travelling is an experience full of fun and adventure. While everyone wants to spend their vacations exploring new places and trying local delicacies, mishaps might always creep in! How can one stay protected against them and still enjoy their vacation? Here is where travel insurance comes in! From passport loss, accidents to medical emergencies, travel insurance assists clients in all these scenarios and more. This ensures that clients can leave the worrying to the insurance company and experience their vacation to the fullest!

Deliverable:
Through this menternship, you will create a machine learning model to predict if a customer would be interested in taking up travel insurance based on their personal data.
Why take up this Menternship?
On completing this Menternship, you will learn about
You will explore:
Supervised Machine Learning
Feature Engineering

You will apply:
Data cleaning
Data Visualisation
Model Building 
Model Evaluation
R programming skills

You will create:
A classification model to predict the likelihood of a customer taking up travel insurance based on their personal data.


Expected Output
  1. R code with properly commented code segments for the EDA.
  2. Final Output code with properly commented codes and markdown wherever needed - Git Repository
  3. Project Report
  4. Video of Self
Predict if a customer is likely to buy travel insurance using R
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