auto encoder anomaly detection for city water supply

In this project I use auto-encoders then wrap them in django to create a web app. I used bokeh framework for the chart.

twitter: @DaliDalmas

my bitbucket: https://bitbucket.org/DaliODalmas/auto-encoder-anomaly-detection-for-water-city-water-supply/src/master/

LSTM Autoencoder BLOG: https://towardsdatascience.com/lstm-autoencoder-for-anomaly-detection-e1f4f2ee7ccf
Townsville City Council Daily Water Production: https://data.gov.au/data/dataset/water-production/resource/4c509d89-5957-48e7-aa6e-6e4ad74cb8a9
jabrils: https://www.youtube.com/channel/UCQALLeQPoZdZC4JNUboVEUg

django: https://www.youtube.com/watch?v=F5mRW0jo-U4&t=3196s

Background music are gotten from the free licence YouTube audio tracks. Link: https://www.youtube.com/audiolibrary/music?nv=1

As a data scientist you need to have a strong coding skill from a preferred programming language. In these videos I show you how I do data science, machine learning modelling, deployment of machine learning models into applications and hardware.

Видео auto encoder anomaly detection for city water supply канала DaliCodes