/Medical-Insurance-Cost-Predictor-Web-App-with-Streamlit

This is a medical insurance cost predictor machine learning project using Random forest regressor

Primary LanguageJupyter Notebook

Medical-Insurance-Cost-Predictor

This is a medical insurance cost predictor machine learning project using Random forest regressor

Type IDE Type Status

Link to the web app :

WORKFLOW OF PROJECT

flowchart TD
A[Step 0 : Collect Data] --> B[Step 1 : Import Libraries/Modules in the workspace]
B[Step 1 : Import Libraries/Modules in the workspace] --> C[Step 2 : Import the collected data into the workspace]
C[Step 2 : Import the collected data into the workspace] --> D[Step 3 : Data Preprocessing]
D[Step 3 : Data Preprocessing] --> E[Step 4 : Training a ML model using Random Forest Regression Algorithm]
E[Step 4 : Training a ML model using Random Forest Regression Algorithm] --> F[Step 5 : Deploy the ML model as a Web App]

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