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 If you enjoy these tutorials, like the video, and give it a thumbs-up, and also share these videos with your friends and families if you think these videos would help him. Please consider clicking the SUBSCRIBE button to be notified of future videos. #machinelearningproject #machinelearning