Solution: Interpreting Anomalies
Explore how to identify and interpret anomalies in datasets using the H2O Isolation Forest algorithm. This lesson guides you through feature selection, model training, anomaly labeling, and decision path generation to enhance your data analysis capabilities in unsupervised learning.
We'll cover the following...
We'll cover the following...
Analyzing anomalies
As discussed in the previous lessons, analyzing anomalies is a crucial component of data analysis. It involves identifying unexpected deviations or irregularities within datasets. This process is essential for domains such as cybersecurity, finance, and healthcare. Detecting anomalies helps pinpoint errors, fraud, or ...