Anomaly_Detection_Python

In this repo, different techniques will be done to analyze Anomaly detection. Dataset for DeepAR model is available on "http://www.timeseriesclassification.com/Downloads/ECG5000.zip"

A Comprehensive Beginner’s Guide to the Diverse Field of Anomaly Detection

https://towardsdatascience.com/a-comprehensive-beginners-guide-to-the-diverse-field-of-anomaly-detection-8c818d153995

k-Nearest Neighbors (kNN) for anomaly detection

https://towardsdatascience.com/k-nearest-neighbors-knn-for-anomaly-detection-fdf8ee160d13

Statistical techniques for anomaly detection

https://towardsdatascience.com/statistical-techniques-for-anomaly-detection-6ac89e32d17a

Research Papers on Anomaly Detections

Local Anomaly Detection by Application of Regression Analysis on PMU Data

https://pureadmin.qub.ac.uk/ws/portalfiles/portal/150171917/Local_Anomaly_Detection_by_Application_of_Regression_Analysis_on_PMU_Data.pdf

Name		Name	Last commit message	Last commit date
Latest commit History 71 Commits
dataset		dataset
1.1_AutoencoderSimple_Anomaly_Detection.ipynb		1.1_AutoencoderSimple_Anomaly_Detection.ipynb
1.2_AutoEncoders_Anomly_Detection_ECG.ipynb		1.2_AutoEncoders_Anomly_Detection_ECG.ipynb
1.3_AutoEncodersLSTM_Anomly_Detection_ECG.ipynb		1.3_AutoEncodersLSTM_Anomly_Detection_ECG.ipynb
2.1_Anomaly_Detection_using_Isolation_Forest.ipynb		2.1_Anomaly_Detection_using_Isolation_Forest.ipynb
2.2_Anomaly_Detection_using_Isolation_Forest_Feature_Engineering.ipynb		2.2_Anomaly_Detection_using_Isolation_Forest_Feature_Engineering.ipynb
3.1_Pycaret_Anomaly_Detection_anomalydata.ipynb		3.1_Pycaret_Anomaly_Detection_anomalydata.ipynb
3.2_Pycaret_Anomaly_Detection_End_to_End.ipynb		3.2_Pycaret_Anomaly_Detection_End_to_End.ipynb
3.3_Pycaret_Anomaly_Detection_delwaredata.ipynb		3.3_Pycaret_Anomaly_Detection_delwaredata.ipynb
4: KNN_Anomaly_Detection.ipynb		4: KNN_Anomaly_Detection.ipynb
5: PyOD_Outlier_Detection_KNN.ipynb		5: PyOD_Outlier_Detection_KNN.ipynb
6: LOF_algorithm.ipynb		6: LOF_algorithm.ipynb
7: PyNomaly_LOF.ipynb		7: PyNomaly_LOF.ipynb
8: EllipticEnvelope_Anomaly_Detection.ipynb		8: EllipticEnvelope_Anomaly_Detection.ipynb
9: Univariate_Outliers_Detection_Methods.ipynb		9: Univariate_Outliers_Detection_Methods.ipynb
Part 10: DBSCAN_Outlier_Detection.ipynb		Part 10: DBSCAN_Outlier_Detection.ipynb
Part 11: Robust_Covariance_Estimation_and_Mahalanobis_Distances_relevance.ipynb		Part 11: Robust_Covariance_Estimation_and_Mahalanobis_Distances_relevance.ipynb
Part 12: OneClassSVM_outlier_detection.ipynb		Part 12: OneClassSVM_outlier_detection.ipynb
Part 13: Anomaly_Detection_using_FBProphet_nyc_taxi_data.ipynb		Part 13: Anomaly_Detection_using_FBProphet_nyc_taxi_data.ipynb
README.md		README.md
test.ipynb		test.ipynb

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Anomaly_Detection_Python

A Comprehensive Beginner’s Guide to the Diverse Field of Anomaly Detection

k-Nearest Neighbors (kNN) for anomaly detection

Statistical techniques for anomaly detection

Research Papers on Anomaly Detections

Local Anomaly Detection by Application of Regression Analysis on PMU Data

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