Individual Health Insurance Cost Prediction
Daniil Lypenets
Python
7 Chapters
2 Studying now
A hands-on case study where you will analyze, visualize, and model individual health insurance costs using Python and pandas. You will clean and explore the data, extract insights, preprocess features, build a regression model, and interpret the results to understand what drives insurance pricing.
Description du cours
A hands-on case study where you will analyze, visualize, and model individual health insurance costs using Python and pandas. You will clean and explore the data, extract insights, preprocess features, build a regression model, and interpret the results to understand what drives insurance pricing.
Technologie
Python
Langue
En
Évaluation
Chapitres
7
Étudie maintenant
2
Data Inspection & Cleaning
Exploratory Data Analysis (EDA)
Feature Relationships & Insights
Data Preprocessing
Model Building (Linear Regression)
Model Evaluation
Visualization & Interpretation
0%
Data Inspection & Cleaning
Exploratory Data Analysis (EDA)
Feature Relationships & Insights
Data Preprocessing
Model Building (Linear Regression)
Model Evaluation
Visualization & Interpretation
