PM2.5 Prediction

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  Web Interface

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  Final relation graph of actual vs predicted

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  Final r2 score/accuracy

                                 PM2.5 Prediction

This project is based on Machine Learning using concepts of Regression and Classification. EDA, feature engineering and feature selection is done on a given dataset. Through this project I learned how to clean data, analyze it and make it more perfect so that my predictions become more perfect. How to perform feature Engineering and feature selection and what type of model should be used for vast and complex data. deployment of this model is through flask. I faced some challenges while deployment because I never used flask, but due to this project I learned a lot about it.

Built With

• css
• flask
• html
• jupyter
• python