This repository builds a Linear as well as a Logistic model to predict rainfalls in Austin, Texas.
The following dataset constitutes 3.5 years worth of weather data, including temperature, humidity, dewpoints, etc: https://www.kaggle.com/grubenm/austin-weather
Execute the files linearRegression.py and logisticRegression.py to obtain predictions for an arbitrary day with hardcoded input parameters.
A day (in red) having a precipitation of about 2 inches is tracked across multiple parameters.
Manually classifying the precipitation levels into 4 different classes as follows:
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No Rain: precipitation<0.001
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Drizzle: 0.001<=precipitation<0.1
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Moderate Rains: 0.1<=precipitation< 1.2
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Heavy Rains: precipitation>=1.2
The graphs we obtain after classifying express various trends which tie rainfall and humidity, visibility and temperature together.
