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Utilised the Time Series Forecasting Model known as FB Prophet to predict and forecast PM 2.5 values and other Air pollution metrics using Machine Learning models and regression analysis.

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Web App Flask for Time Series Deployment in Production

Particulate Matter 2.5 Predictor

Project description:

Time Series Forecasting and regression analysis web app to predict and forecast PM 2.5 values and other Air pollution metrics 3 hours ahead. This project uses the Facebooks Prophet algorithm to forecast the PM 2.5 values 3 Hours ahead.

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Utilised the Time Series Forecasting Model known as FB Prophet to predict and forecast PM 2.5 values and other Air pollution metrics using Machine Learning models and regression analysis.

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