Code on Kaggle:
https://www.kaggle.com/priyang/health-insurance-cost-predicition
Health Insurance Cost Prediction Using Machine Learning
Questions :
1. Display Top 5 Rows of The Dataset
2. Check Last 5 Rows of The Dataset
3. Find Shape of Our Dataset (Number of Rows And Number of Columns)
4. Get Information About Our Dataset Like Total Number Rows, Total Number of Columns, Datatypes of Each Column And Memory Requirement
5. Check Null Values In The Dataset
6. Get Overall Statistics About The Dataset
Covert Columns From String ['***','smoker', 'region' ] To Numerical Values
8. Store Feature Matrix In X and Response(Target) In Vector y
9. Train/Test split
1. Split data into two-part: a training set and a testing set
2. Train the model(s) on the training set
3. Test the Model(s) on the Testing set
10. Import the models
11. Model Training
12. Prediction on Test Data
13. Compare Performance Visually
14. Evaluating the Algorithm
16. Save Model Usign Joblib
17. GUI
Kaggle Link:
https://www.kaggle.com/mirichoi0218/insurance
Github Link:
https://github.com/PRIYANG-BHATT/Datasets-Youtube-Pandas/tree/main/DS
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