Anomaly Detection in Timeseries Data
Description
For general use of for internal needs for a prospecting tool monitoring time-series trends, identifying inflections/anomalies, and present filters. I imagine it’s a tool that let’s you put in a metric or query and it generates a basic time-series prediction and then can notify you if its out of bounds given input bounds and alert thresholds. I was playing around with the idea last night (attached) and hosting it on streamlit for easy interactions.
Timeseries_Anomaly_Detection_to_Streamit (1).ipynb
PS: (1) used data like DAU, Funding Rounds, Acquisition Amounts, NYC taxi riders etc as I thought they’re similar/relevant to the type of data most of the readers here ingest…
IPYNB Files
[Detection_through_ADTK_+Isolation_Forest (4).ipynb](https://nbviewer.org/github/amenti4k/timeseries-anomaly-detection/blob/main/Detection_through_ADTK+Isolation_Forest(4).ipynb)
Detection_through_lagllama.ipynb
Detection_through_Transformers.ipynb
Mockup
Gists for Visibility
https://gist.github.com/amenti4k/43da3e70407c7933ca2833667455bb18
https://gist.github.com/amenti4k/988d73dc8a0dd4fc535427b789827cbe
https://gist.github.com/amenti4k/dc286ae3dd187f4414a2c4c99b6deac0
https://gist.github.com/amenti4k/9a251ca1f1eed1dc79eb1b698175d97f
https://gist.github.com/amenti4k/63f48863ebc49246b938589e1e8f37c4