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Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

Clustering is widely used for data analysis that partitions a set of data into multiple clusters, where objects in the same cluster have similar properties. Data for clustering analysis often comes ...

An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control. - google/adk-python ...

In the recently developed document clustering, word embedding has the primary role in constructing semantics, considering and measuring the times a specific word appears in its context. Word2vect and ...

Tech Stack Python 3.5 Pandas, NumPy Scikit-learn (DBSCAN) TensorFlow / Keras (LSTM) Matplotlib, Seaborn ...