LSTM_PM10_airpolution_Sofia | LSTM model for prediction of the air polution

 by   Nestak2 Jupyter Notebook Version: Current License: No License

kandi X-RAY | LSTM_PM10_airpolution_Sofia Summary

kandi X-RAY | LSTM_PM10_airpolution_Sofia Summary

LSTM_PM10_airpolution_Sofia is a Jupyter Notebook library. LSTM_PM10_airpolution_Sofia has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

LSTM model for prediction of the air polution in Sofia, Bulgaria. This repository contains a python code of an LSTM (Long short-term memory) machine learning model for the prediction of air polution in the city of Sofia, Bulgaria. The model is to be tested soon against a meteo model, created by the National Institute of Meteorology and Hydrology. The model here performs ~30% better than the naive-model "today will be as poluted as yesterday", a standard dummy naive-model in meteorology. The data for training the model are from the official, state operated meteo-stations of IAOS in Sofia. The code can be also viewed on colab:
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              LSTM_PM10_airpolution_Sofia has a low active ecosystem.
              It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.
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              It had no major release in the last 6 months.
              LSTM_PM10_airpolution_Sofia has no issues reported. There are no pull requests.
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              LSTM_PM10_airpolution_Sofia releases are not available. You will need to build from source code and install.

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