Description:
The idea was to try to figure out if crime could be predicted based on past data. We created a ETL pipeline by extracting data from LA County's site and transforming it into meaningful data and loading it into our machine learning model. We had hoped to have good results and be able to present it to the city as a warning but after running the machine learning model... It did not yield good results.
Stack: Python, Numpy, Sklearn, Pandas