01_Anomaly_Detection_Demo
Outlier Dection / Fraud Detection in Contracts Discover anomalies / irregularities / Frauds(?) in contracts payment amounts via: - data visualization […]
01_Anomaly_Detection_Demo
Discover anomalies / irregularities / Frauds(?) in contracts payment amounts via: - data visualization - basic stats - clustering - isolation forest
01_Anomaly_Detection_Demo
Discover anomalies / irregularities / Frauds(?) in contracts payment amounts via: - data visualization - basic stats - clustering - isolation forest
04_Anomaly_Detection_Exercise
Anomaly Detection (Exercise) This workflow instructs you to detect anomalies in contracts via the IQR, z-score, and isolation forest techniques. […]
04_Anomaly_Detection_Solution
Anomaly Detection (Exercise) - Solution This workflow instructs you to detect anomalies in contracts via the IQR, z-score, and isolation forest techniques. […]
04_Anomaly_Detection_Exercise
Anomaly Detection (Exercise) This workflow instructs you to detect anomalies in contracts via the IQR, z-score, and isolation forest techniques. […]
04_Anomaly_Detection_Exercise
Anomaly Detection (Exercise) This workflow instructs you to detect anomalies in contracts via the IQR, z-score, and isolation forest techniques. […]
04_Anomaly_Detection_Solution
Anomaly Detection (Exercise) - Solution This workflow instructs you to detect anomalies in contracts via the IQR, z-score, and isolation forest techniques. […]
04_Anomaly_Detection_Solution
Anomaly Detection (Exercise) - Solution This workflow instructs you to detect anomalies in contracts via the IQR, z-score, and isolation forest techniques. […]
1. DateTime_Manipulation
DateTime Manipulation This workflow shows: - how to generate Date&Time objects (columns) from String Columns or generating date/time series […]