Insurance Premium Project

To give people an estimate of how much they need based on their individual health situation. After that, customers can work with any health insurance carrier and its plans and perks while keeping the projected cost from our study in mind. I am considering variables as age, sex, BMI, number of children, smoking habits and living region to predict the premium. This can assist a person in concentrating on the health side of an insurance policy rather than the ineffective part.

Dataset_download_url

https://www.kaggle.com/datasets/noordeen/insurance-premium-prediction

Software and account Requirement.

Approach :

Applying machine learing tasks like Data Exploration, Data Cleaning, Feature Engineering, Model Building and model testing to build a solution that should able to predict the premium of the personal for health insurance.

1.Data Exploration

Exploring the dataset using pandas, numpy, matplotlib, plotly and seaborn.

2.Exploratory Data Analysis

Plotted different graphs to get more insights about dependent and independent variables/features.

3.Feature Engineering

Numerical features scaled down and Categorical features encoded.

4.Model Building

In this step, first dataset Splitting is done. After that model is trained on different Machine Learning Algorithms such as:

i.Linear Regression

ii.Decision Tree Regressor

iii.Random Forest Regressor

iv.Gradient Boosting Regressor

v.XGBoost Regressor

5.Model Selection

Tested all the models to check the RMSE & R-squared.

6.Pickle File

Selected model as per best RMSE score & R-squared and created pickle file using pickle library. Webpage &Deployment : Created a web application that takes all the necessary inputs from the user & shows the output. Then deployed project on the Heroku Platform.

SETUP

Create a conda environment

conda create -p venv python==3.7 -y

Activate conda environment

conda activate venv/

To install requirement file

pip install -r requirements.txt

Add files to git git add . or git add <file_name>

1.To check the git status git status

2.To check all version maintained by git git log

3.To create version/commit all changes by git git commit -m "message"

4.To send version/changes to github git push origin main

To setup CI/CD pipeline in heroku we need 3 information

HEROKU_EMAIL = [email protected]
HEROKU_API_KEY = <>
HEROKU_APP_NAME = insurance-prem-prediction12

TO BUILD DOCKER IMAGE

1.build -t <image_name>:<tagname>

2.To list docker image docker images

3.To Run docker image docker run -p 5000:5000 -e PORT=5000 93719f65bc1e

4.To check running container in docker ```docker ps``

5.To stop docker conatinerdocker stop <container_id>

Project Pipeline

1.Data Ingestion

2.Data Validation

3.Data Transformation

4.Model Training

5.Model Evaluation

6.Model Deployement

Deployment Link:

https://dashboard.heroku.com/apps/insurance-prem-prediction12

megha-singhal11 / insurance_premium_prediction Goto Github PK

insurance_premium_prediction's Introduction