PinnedInGeek CulturebyAlexandra Amidon·Jan 27, 2022Replace Outlier Detection by Simple Statistics with ECODA NEW python-based, simple, parameter-free, and interpretable unsupervised anomaly detection methodA response icon2A response icon2
PinnedInTDS ArchivebyAlexandra Amidon·Feb 23, 2021MiniRocket: Fast(er) and Accurate Time Series ClassificationThe FASTEST state-of-the-art algorithm for series classification with PythonA response icon2A response icon2
Alexandra Amidon·Dec 27, 2021Why Writing a Technical Blog will Advance Your CareerAnd how to select topics to write aboutA response icon3A response icon3
InTowards AIbyAlexandra Amidon·Dec 4, 2021An In-depth Guide to Local Outlier Factor (LOF) for Outlier Detection in PythonTheoretical intuition, mathematical definition, and practical code examplesA response icon1A response icon1
InTDS ArchivebyAlexandra Amidon·Jul 26, 2021River: the Best Python Library for Online Machine LearningThe “sklearn” for machine learning on streaming dataA response icon4A response icon4
InTDS ArchivebyAlexandra Amidon·Jul 21, 2021Don’t Use K-fold Validation for Time Series ForecastingHow to perform temporal cross validation with sktime in pythonA response icon2A response icon2
InFeediumbyAlexandra Amidon·Jul 15, 2021My “Secret” to Medium SuccessAnyone can do it, in theoryA response icon4A response icon4
InGeek CulturebyAlexandra Amidon·Jun 16, 2021You are Invited! Join the sktime Dev DaysContribute to a growing python package for time series machine learning
Alexandra Amidon·Jun 8, 2021How to Write a Popular Data Science BlogAdvice from a Top Writer in Artificial IntelligenceA response icon7A response icon7
InTowards AIbyAlexandra Amidon·May 14, 2021Why Outlier Detection is HardConsiderations for Anomaly Detection Machine Learning TasksA response icon1A response icon1
