Task -1 These are the tasks to be done which includes Timeseries and Log detection.

[mai1x9]

Refer

• Refer to #1, #2, #3 for understanding what you are suppose to do.
• The issues have advanced and difficult models. However as part of evaluation i have picked 1-2 model from each of #1,#2, and #3 to assess your learnign in different ML feilds right from simple models to complicated deep learning LSTM and auto encoder.
• Follow below order to finish the tasks.

Tasks

• Log Analyzer: A very simple log analysis: https://github.com/logpai/loglizer
• Log Pattern detection: https://github.com/trungdq88/logmine
• Orion time series. https://github.com/sintel-dev/Orion
• Sktime simple forecasting: https://github.com/sktime/sktime
• LSTM based log anaomaly detection: https://github.com/autumn0409/Log-based-Anomaly-Detection-System and https://github.com/DepressedSage/Log-Anomaly-Detection-using-Deep-Learning (Final) (refer to any 1 link, both are same or similar though)
• Auto encoder on simple data timeseries: Auto encoder based anomly detection: https://github.com/datablogger-ml/Anomaly-detection-with-Keras

[mai1x9]

• Log Pattern detection: https://github.com/trungdq88/logmine
• LSTM based log anaomaly detection: https://github.com/autumn0409/Log-based-Anomaly-Detection-System and https://github.com/DepressedSage/Log-Anomaly-Detection-using-Deep-Learning (Final) (refer to any 1 link, both are same or similar though)
• Auto encoder on simple data timeseries: Auto encoder based anomly detection: https://github.com/datablogger-ml/Anomaly-detection-with-Keras

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• BERT model will be the last one.