Tidy anomaly detection
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Updated
Dec 28, 2023 - R
Tidy anomaly detection
2D Outlier Analysis using Shiny
The objective of this project is to detect anomalies within a given dataset and assess their impact on the analysis performance. Our main focus is on developing a predictive model that will enable accurate sales forecasting. By identifying and addressing anomalies within the dataset, we aim to enhance the overall accuracy of the sales prediction
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