https://github.com/gakas14/health_insurance_cost

https://github.com/gakas14/health_insurance_cost

Last synced: 8 days ago
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• Host: GitHub
• URL: https://github.com/gakas14/health_insurance_cost
• Owner: gakas14
• Created: 2021-06-20T07:11:32.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2021-06-20T07:17:41.000Z (over 3 years ago)
• Last Synced: 2023-11-28T06:30:05.366Z (12 months ago)
• Language: Jupyter Notebook
• Size: 37.1 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Health_Insurance_Cost

Health insurance has become an indispensable part of our lives in recent years, and people are paying for it so that they are covered in the event of an accident or other unpredicted factors.

You are provided with medical costs dataset that has features such as Age, Cost, BMI.

Objective:

Determine the factors that contribute the most in the calculation of insurance costs.

Predict the health Insurance Cost.

Actions we Performed:

1.Find the correlation of every pair of features (and the outcome variable).

2.Visualize the correlations using a heatmap.

3.Normalize the inputs.

4.Use the test data to find out the accuracy of the model.

5.Visualize how the model uses the different features and which features have a greater effect.