Importing weather data from WorldWeatherOnline
The effectiveness of ML algorithms depends heavily on the data used for training. Hence, as we commonly say, the ML model is only good as the dataset. The essential requirement for a good dataset is that the input data must represent the problem we want to solve. Considering our context, we know from physics that temperature and humidity affect snow formation.
Hence, in this recipe, we will show how to gather historical hourly temperature, humidity, and snowfall data to build a dataset for forecasting snow.
The following Colab file (see the Importing weather data from WorldWeatherOnline section in the following repository) contains the code referred to in this recipe:
preparing_model.ipynb:
Getting ready
On the internet, there are various sources from which we can gather hourly weather data, but most of...
