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

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1_Network Instrusion Static.ipynb		1_Network Instrusion Static.ipynb
2_IOT BotNet Attack Static.ipynb		2_IOT BotNet Attack Static.ipynb
3_Static And Dynamic.ipynb		3_Static And Dynamic.ipynb
README.md		README.md
Report for Adaptive Learning.pdf		Report for Adaptive Learning.pdf

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Adaptive-Learning-using-Kafka-server

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

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

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