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Synthetic Data Pre-Analysis for Replication Experiment of Risk Presentation format (Kaufmann et al., 2013)
This is a Synthetic Data Pre-Analysis for Risk Presentation Format and Investment Risk Appetite: A Replication and Extension of Kaufmann, Weber, and Haisley (2013)
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Laboratorio # 2 Cobertura de futuros Mariana Lujan J David G zapata
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RFM Analysis of Online Education Platform
This project delivers a comprehensive Customer Value Segmentation analysis for our online education platform, utilizing transaction data spanning 9,935 orders across a 12-month period (January 1, 2019 – December 31, 2019). By implementing a Recency, Frequency, and Monetary (RFM) framework, the analysis moves past aggregated metrics to map true student and institutional behavior. The objective is to transition from uniform marketing to high-precision, automated B2C workflows and high-touch B2B account management.
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DA Assignment Task 2
Maternal-Heath Risk Prediction Using tidymodels in R
A predictive model to classify maternal health risk levels (High vs Low) during pregnancy using key clinical and physiological parameters. It leverages the tidy models framework in R to build, tune and evaluate multiple classification models with a focus on achieving high predictive performance for early risk identification.
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Project 3
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Informe_Feria