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.

Simple stock price analytics

LTE Network traffic prediction and Congestion

Prophet built for CUDA and Speed

JP morgan virtual internship Quantitative Research

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

Python Prophet and CoinCap for Cryptocurrencies predictions.

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

Using the Prophet package published by Facebook to do time series forecasting. This is a beginner's level walk-through

Use Facebook Prophet model to forecast Sales including seasonality patterns

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

weather prediction using prophet time series.

Cybersecurity and big data course project about Turkey and America e-commerce market volume comparison and prediction.

Forecasting Stocks and Crypto prices using @RedisGears, Prophet, and @grafana plugins.

In this section, we will examine the use of the prophet method, which is one of the time series analysis methods.

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.