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Insurance-Cost-Prediction

Insurance-Cost-Prediction is an Machine Learning based project

Frontend: HTML,CSS,BOOTSTRAP
Backend: Python(Flask)

No. of Modules:

  1. Machine Learning and Python
    1.1. Multiple Linear Regression
    1.2. Libraries Used in Python

  2. Web Development
    2.1. Flask
    2.2. Bootstrap

1. Machine Learning and Python

input output

1.1. Multiple Linear Regression

Dependent Variables : Charges
Independent Variables: Age, Sex, BMI, Childern, Smoker, Region

1.2. Libraries Used in Python

Numpy, Pandas, Matplotlib, Sklearn, Pickle, Flask

2. Web Development

2.1. Flask

Flask is used for creating API for model. Flask is library in python which is useful for excution of Web development projects in Python and API's

2.2. Bootstrap

Bootstrap 4 framework is used for Frontend Delvelopment as a external css.
The web pages are stored in templates folder. Base.html is a main html file.

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Insurance-Cost-Prediction is an Machine Learning based project

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