Background
Company X, is an insurance company that currently wants to do cross selling product in order to increase the company's revenue.
Currently they have 12% conversion rate.
As a consultant, Kaizen Consultant, we want to increase conversion rate on health insurance cross sell-based service using machine learning.
Goals
Time and Cost Efficiency
Objective
Machine learning model for filtering survey's target
Business Matric
Response rate
Notebooks Structure
Stage 1_EDA this stage contains how raw data looks like and distributed,we also can get some business insight.
Stage 2_Preprocessing_this stage contains how to cleansing and transform data, we also prepare data for machine learning model.
Stage 3_Supervised Learning_ this notebook contains training data contains how model trained and evaluated.