The "San Francisco Crime Classification" challenge, is a Kaggle competition aimed to predict the category of the crimes that occurred in the city, given the time and location of the incident.

In this post, I explain and outline my first solution to this challenge.

Link to the competition: San Francisco Crime Classification

The algorithm chosen for the implemented solution, is a random forest, a learning method used mostly for classification and regression.

A written report is available at: [San Francisco Crime Classification - a Kaggle Competition]http://juandes.github.io/SFCrimeClassification-R-RandomForest/