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!
Role
Data Analyst
Industry
Finance
Menterns at work
19
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
Supervised Machine Learning
Feature Engineering
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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!
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Data Analysis
Data preparation
Hypothesis testing
Model formulation
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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
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
Learn more about our Menternship Principle
What you’ll need before starting
R, Prediction algorithms
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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!
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