LA-Crime-Analysis

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.

Name		Name	Last commit message	Last commit date
Latest commit History 4 Commits
Preview		Preview
.DS_Store		.DS_Store
OLAP_1.ipynb		OLAP_1.ipynb
OLAP_2.ipynb		OLAP_2.ipynb
README.md		README.md
Screenshot 2023-11-06 at 9.46.11 AM.png		Screenshot 2023-11-06 at 9.46.11 AM.png
Screenshot 2023-11-06 at 9.46.20 AM.png		Screenshot 2023-11-06 at 9.46.20 AM.png
Spatial Clustering.ipynb		Spatial Clustering.ipynb
Time Series Analysis.ipynb		Time Series Analysis.ipynb
clusters.png		clusters.png
time series.png		time series.png

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