The aim of this project is to predict if a customer will purchase a Caravan Insurance Policy based on socio‐demographic and product ownership data or not. Being a high dimensional dataset we will take measures to [email protected] the dimensionality of the data.
To answer the problem, we will apply various classification techniques to understand the records and evaluate the values. We will build models using under sampling and oversampling approaches to correct the imbalanced dataset. Finally, we compare all the models to select the best one.
Goal: To predict the sale of an insurance policy
Tools Used: Machine Learning, Statistics, Python
Prerequisites: Basic Exposure to programming or Beginner is also fine
Learning Outcome: To understand Machine Learning and be able to comprehend it’s use in real-time and to understand how good Machine Learning techniques suit your understanding.
Date: 18th June, 2021
Time: 6:00PM - 8:00PM IST
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