Machine Learning: Rainfall prediction using Decision Tree Classifier

This notebook describes how you can apply Machine Learning techniques to predict rainfall.

Data set comprising of the amount of Precipitation(inches), maximum temperature(Fahrenheit) and minimum temperature(Fahrenheit) was downloaded from kaggle.

click on the link below to get the data

https://www.kaggle.com/rtatman/did-it-rain-in-seattle-19482017

To do this, first i imported the python libraries

Data set used for this model

Getting information about the data set

Plotting heatmap to show columns with missing values

Making predictions

The model produced 100% accuracy so it can be effectively used to predict rainfall in Seattle