To predict things have been never so easy. I used to wonder how Insurance amount is charged normally. So, in the mean time I came across this dataset and thought of working on it! Using this I wanted to know how few features determine our insurance amount!
- Exploring the dataset
- Converting Categorical values to Numerical
- Plotting Heatmap to see dependency of Dependent valeu on Independent features
- Data Visualization (Plots of feature vs feature)
- Plotting Skew and Kurtosis
- Data Preparation
- Prediction using Linear Regression
- Prediction using SVR
- Prediction using Ridge Regressor
- Prediction using Random Forest Regressor
- Performing Hyper tuning for above mentioned models
- Plotting Graph for all Models to compare performance
- Preparing model for deployment
- Deployed model using Flask
The dataset used can be downloaded here (Kaggle) - Click to Download
Made with ❤️ by Sahil Chachra
MIT © Sahil Chachra