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A Python script to predict weather based off of image data after being trained with weather datasets and image files

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A Python ML program to identify weather based off of webcam images using the scikit library

This script uses the following to train it's machine learning model:

	Historical climate data found gathered by the government of Canada:
	http://climate.weather.gc.ca/historical_data/search_historic_data_e.html

	Weather images used as part of this program was obtained from KatKam images:
	www.katkam.ca

Input: data_folder, image_folder, image_file Outputs: csv of weather labels and/or accuracy scores

example: weather_data_analysis data_folder, image_folder, image_file.jpg #This produces a csv file with the predictions

weather_data_analysis data_folder, image_folder, image_file.jpg #This produces a csv file and accuracy scores for months, hours and weather labels

Dependencies: pandas numpy sys glob os matplotlib re sklearn PIL

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A Python script to predict weather based off of image data after being trained with weather datasets and image files

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