GitHub repository: m-a-y-a-n-k/Weather-Prediction-Using-Neural-Networks
Primary language: Matlab
Created: 2016-10-02T11:43:21Z
Description: Machine Learning Project for classifying Weather into Stormy (1000) , Rainy(0100) , Foggy (0010) , Sunny(0001) 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:  1.Extract the files into a single directory ( say "MyWeatherProject" )  2.Open Octave(GUI) and go to the above directory  3.Type the following in the COMMAND WINDOW : "YearlyForecast();" (without double quotes)  4.Open the files "PredictionWeather1997.txt" to "PredictionWeather2016.txt" and compare with actual results from "Weather1997.txt" to "Weather2015.txt".