Perform spatial and time series analysis for a 10-year dataset of reported crimes from LA government.
Part 1: Big data OLAP.
Part 2: Clustered and visualized the spatial crime data by training and fine-tuning a Spark ML K-means model.
Part 3: Built a SARIMAX model to predict the number of crimes 1 year in advance.
