product-options

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dharmikbanka23 / Insurance-Product-Purchase-Prediction
This project aims to develop a predictive model estimating insurance coverage costs for customers based on their attributes and product choices. The dataset includes transaction and quote details for policy purchasers. The objective is to predict quoted coverage costs, considering customer traits and 7 customizable product options.
cost-prediction data-preprocessing decision-tree-regression evaluation-metrics gradient-boosting-regression insurance-product machine-learning ml-models neural-network-regression random-forest-regression customer-characteristics product-options
Language:Jupyter Notebook 2

dharmikbanka23 / Insurance-Product-Purchase-Prediction