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The document outlines a comprehensive approach to Time Series Analysis and Forecasting using Python for Call Data Record (CDR) analysis, including data preparation, exploratory analysis, and forecasting techniques with ARIMA and Prophet. It also discusses the potential applications of CDR analysis in crime investigation, such as detecting unusual call patterns, mapping criminal networks, and predicting crime trends. Additionally, it proposes extending a Jupyter Notebook template to serve as a crime analytic

Author

s5vypvotb

Language

EN