Timeseries Anomaly detection and Root Cause Analysis on data in SQL data warehouses and databases
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Updated
Feb 23, 2022 - Python
Timeseries Anomaly detection and Root Cause Analysis on data in SQL data warehouses and databases
Web App for forecasting timeseries
weather prediction using prophet time series.
Example of Prophet (Meta/Facebook) library usage. Utilizing the powerful Prophet library, this project offers robust time series forecasting capabilities. With comprehensive documentation and a streamlined setup process tailored for Linux systems, users can seamlessly automate predictions using cron jobs, enhancing efficiency in forecasting tasks.
Ethepy is a project that allow you to predict a cryptocurrency prices with prophet using deep learning. and also give you an insight of the polarity of the news about your cryptocurrency by scraping twitter data.
Predict order volume for the next x days in hours granularity using Facebook Prophet Model.
Flask Backend - BI application used for forecasting time series data
Flask backend for stock price prediction app
Stock opening price prediction
BTC Price Prediction using Facebook Prophet
Polytech project - Analysis of the nuclear phase-out in French electricity production
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