Weather Prediction using multiple methods in R.
This work is done on the weather analysis dataset from kaggle.com.
The data-set includes over a decade worth of weather data in the Colorado area, with attributes such as the average, maximum and minimum daily temperatures, the rainfall, humidity, etc.
The code consists of pre-processing (time-shifting and tidying the data), exploratory data analysis and models for predicting temperature including (stepwise) linear regression, tree based methods and random forests.