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GitHub / hosnaa / Adaptive-Learning-using-Kafka-server

Training static models for binary and multiclass classification problems then using data streamed from kafka server to retrain the model and track its performance.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hosnaa%2FAdaptive-Learning-using-Kafka-server

Stars: 0
Forks: 0
Open issues: 0

License: None
Language: Jupyter Notebook
Size: 556 KB
Dependencies parsed at: Pending

Created at: over 3 years ago
Updated at: about 3 years ago
Pushed at: over 3 years ago
Last synced at: about 2 years ago

Topics: adaptive-learning, binary-classification, cybersecurity, data-cleaning, decision-trees, imputation, kafka, kafka-consumer, kafka-streams, multiclass-classification, pandas-dataframe, pr-curve, retrain, xgboost, xgboost-classifier

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