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Weather web scraping and Time series model to predict temperature, humidity and barometer

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Weather web Scraping - Time series Model

Scraping www.timeanddate.com web with bs4 tool in python for London weather of 7 years. "YearLondon_Weather" is cleand data which I used it for models has 10222 records.

I got two different types of data - Actually they have different date and hours split (raw data):

  • cleaned the data with separate months and days and some extra strings like wind units along with their numbers (dataset folder)

Analyse features (process_data) :

  • Temp, Barometer and Humidity changes in 7 years:

Test some ML models, RNN and LSTM models on dataset that you can see some results here.

  • Result of RNN:

  • Result of LSTM:

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Weather web scraping and Time series model to predict temperature, humidity and barometer

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