Applied Regression Modeling for Insurance Costs | CodeSignal Learn

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intermediate

Applied Regression Modeling for Insurance Costs

Artificial Intelligence

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3 courses

56 practices

7 hours

Master the foundational skills needed for insurance cost prediction. Learn to explore and visualize insurance data, identify key cost factors, build simple regression models, and evaluate prediction accuracy.

111 learners

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Verified skills you'll gain

INTERMEDIATE

Machine Learning Model Development

INTERMEDIATE

Model Validation and Selection

Tools you'll use

MatPlotLib

Pandas

Python

Course 1

PredictHealth's Insurance Data & Basic Regression

5 lessons

22 practices

Master the foundational skills needed for insurance cost prediction. Learn to explore and visualize insurance data, identify key cost factors, build simple regression models, and evaluate prediction accuracy.

Course 2

PredictHealth's Multi-Factor Cost Models

5 lessons

19 practices

Build on basic regression skills to develop more sophisticated prediction models. Learn to combine multiple factors, incorporate categorical variables, properly clean and prepare data, validate models, and engineer custom features to improve predictions.

Course 3

PredictHealth's Advanced Pricing System

4 lessons

15 practices

Master advanced modeling techniques to build a state-of-the-art insurance pricing system. Learn to model non-linear patterns, analyze feature interactions, apply regularization for optimal generalization, implement robust validation, and create a complete production-ready prediction system.

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