Timeseries Anomaly detection and Root Cause Analysis on data in SQL data warehouses and databases
Time Series Analysis and Forecasting in Python
Projetos de modelagem e previsão de séries temporal em linguagem Python e linguagem R. Usarei vários modelos de bibliotecas e pacotes usados para tratamento, modelagem e previsão de séries temporais. Falarei um pouco sobre cada uma delas, gerarei a validação e as previsões e, por fim, realizarei a avaliação com a métricas pertinentes.
JP morgan virtual internship Quantitative Research
LTE Network traffic prediction and Congestion
In this project, analysis and prediction of the bitcoin price was carried out as part of a project to research artificial intelligence in finance in the scope of Interactive ML course at Augsburg University
Use Facebook Prophet model to forecast Sales including seasonality patterns
Python Prophet and CoinCap for Cryptocurrencies predictions.
Using the Prophet package published by Facebook to do time series forecasting. This is a beginner's level walk-through
This is a small example of using Facebook's open-source algorithm for generating time-series models, with a dataset from yahoo finance.
Web App for forecasting timeseries
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.
Using Facebook Prophet model to predict HK stock price
A stock market predictor which utilizes Facebook's Prophet Library and Yahoo Finance APIs, to forecast stocks based on time series data
A comprehensive Hotel Management System designed to streamline hotel operations with some AI features
This repository contains the raw data and a python notebook to ingest historical A&E attendance data and then use a simple Prophet model to predict the number of A&E attendances in England if the COVID-19 pandemic had not happened. The predicted A&E attendance values from (2020-01 to 2021-12) are then compared to the actual data to quantify the …
Forecast Algorithm Comparison in Python
Cybersecurity and big data course project about Turkey and America e-commerce market volume comparison and prediction.
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