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

MATLAB 36.80% M 44.74% Objective-C 2.60% C++ 15.85%
curves extract gui machine-learning neural-network weather-conditions weather-prediction

weather-prediction-using-neural-networks's Introduction

  • ๐Ÿ‘‹ Hi, Iโ€™m @m-a-y-a-n-k
  • ๐Ÿ‘€ Iโ€™m interested in Software Development
  • ๐ŸŒฑ Iโ€™m currently learning how to build a sleak UX
  • ๐Ÿ’ž๏ธ Iโ€™m looking to collaborate on some fun projects
  • ๐Ÿ“ซ How to reach me [email protected]

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weather-prediction-using-neural-networks's Issues

help

can you help me to run this code, where is the main code. that i should put it in command window to run the code

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