Data Science

Predict if a customer is likely to buy travel insurance using R/Python

Here is your chance to build unique proof of work in the hot field of insurance technology!

Certified by

Role

Data Analyst

Industry

Finance

No. of Subscribers

Level

Intermediate

Time Commitment

Submit First Draft in 30 days

Duration

60 days

Tools you’ll learn

Here’s What You Work On

About the Company

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.

Explore

the following work techniques

Supervised Machine Learning

Feature Engineering

Bridging the gap

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!

Apply

the following skills

Data Analysis

Data preparation

Hypothesis testing

Model formulation

Expected output

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.

Create

the following deliverables

Data preparation of the given dataset

A classification model to predict the likelihood of a customer taking up travel insurance based on their personal data

What you’ll need before starting

R, Prediction algorithms