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:

• No Rain: precipitation<0.001

• Drizzle: 0.001<=precipitation<0.1

• Moderate Rains: 0.1<=precipitation< 1.2

• Heavy Rains: precipitation>=1.2

The graphs we obtain after classifying express various trends which tie rainfall and humidity, visibility and temperature together.