Show temperature at your location (one value for current temperature, update each hour, another - 24 hours predictions for present day) as well as your city, country, and which day is today.
As an experimental option, you could see predictions for weather temperatures for the next 1, 7, 10 days(predict temperature at 12:00 AM in your city).
If your city not in DB, you will see all predictions are equal to temperature, which you got by the first visit. Each day for each available city in the DB script will update the parameter of temperature. And for each city script will create a machine learning model to predict temperature for the next 1, 7, 10 days.
From 1 to 10 observation LinearRegression model will be used for predictions in your city. After 10 days, a more complex RNN model will be used for predictions in your city.
Also (from version 2.3.0) added another ML model, which make prediction for temperatures for each of 24 hours for one day (chose LinearRegression) and update temperatures by hour each hour.
Code for backend part host on Google AppEngine. After sending the request, you should receive the result within one minute maximum.
If you want to know how it's working under the hood by looking into the code - welcome to visit github repo for backend(https://github.com/Oysiyl/Weather_app) and frontend(https://github.com/Oysiyl/simple-weather-app) parts
Generate an embeddable card to be shared on external websites.
Choose your Linux distribution to get detailed installation instructions. If yours is not shown, get more details on the installing snapd documentation.
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