Machine Learning Project for classifying Weather into ThunderStorm (0001) , Rainy(0010) , Foggy (0100) , Sunny(1000) and also predict weather features for next one month after training on 20 years data on a neural network This is my first Machine Learning Project.
Steps To run the project:
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Extract the files into a single directory ( say "MyWeatherProject" )
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Open Octave(GUI) and go to the above directory
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Type the following in the COMMAND WINDOW : "YearlyForecast();" (without double quotes)
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Open the files "PredictionWeather1997.txt" to "PredictionWeather2016.txt" and compare with actual results from "Weather1997.txt" to "Weather2015.txt".
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Curves are plotted to compare predictions with actual weather conditions and they will be saved in the same directory...