As part of assignment "Create a toy model of environments" i have made a prediction model which predicts raninfall.
Root Directory = RainFallPrediction
Main file =Assignment_rainfall_prediction.ipynb
Data Direcotries
1.RainFallPrediction\data\data\Canbera
2.RainFallPrediction\data\data\Melbourne
3.RainFallPrediction\data\data\Queensland
Output Directories =data/output
Generated Output/Input Files
input_pipe_del.csv ---- Pipe delimeted file which is disussed in Task section
training_output.csv --- Training file which has been created by merging data from different sources
training_set.csv ---- Formatted training file in CSV , data is shuffeled in this file
test_data.csv --- Test file for prediction
test_data_future.csv -- A file has been created in case we want to test data on seprate data other than test data , just for testing purpose
output_Gradient Boosting.csv --File generated after predicting value from test_data.csv using Gradient Boosting algorithm
output_Random Forest.csv --File generated after predicting value from test_data.csv using Random forest algorithm
output_Ridge.csv --File generated after predicting value from test_data.csv using Ridge regression algorithm
output_OLS.csv --File generated after predicting value from test_data.csv using Ordinary least square algorithm