A newer more updated version of the prometheus anomaly detector (https://github.com/AICoE/prometheus-anomaly-detector-legacy)

Introduction to time series preprocessing and forecasting in Python using AR, MA, ARMA, ARIMA, SARIMA and Prophet model with forecast evaluation.

Amazon SageMaker Local Mode Examples

Detection and Prediction of Air quality Index

A Python tool to forecast Google Analytics data using several popular time series models.

Modeling time series of electricity spot prices using Deep Learning.

Deep Reinforcement Learning for Trading

COVID-19 Growth Forecast

Forecasting Bitcoin Prices via ARIMA, XGBoost, Prophet, and LSTM models in Python

Cenários e efeitos da pandemia causada pelo novo coronavírus SARS-CoV-2 no Amazonas: Análise e previsão de séries temporais com a biblioteca Prophet.

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

Using Machine Learning for time series forecasting of photovoltaic measurement for solar systems based on weather features

This a Capstone Project done by Team Pycaret in Hamoye Data Science Program Fall'22. ARIMA and Prophet model were used to forecast the closing price of currency exchange. An app was deployed with a friendly UI where users can easily make forecast on a currency pair of their choice, based on the available data used.

We compared data of temperature, sea level, CO2 emissions and population from 1993-2015. We used our machine learning forecast to answer "When will the temperature rise to a dangerous level of 16.37 𝇈C /61.47𝇈F?" Our research and analysis showed that there is a positive trend in the rise of population, CO2 emissions, temperature and global mean …

Pharma Sales Analysis and Forecasting using ARIMA, PROPHET and NEURAL NETWORKS

Pronósticos de evolución del precio de 8 criptomonedas seleccionadas (BTC, ETH, XRP, LTC, BCH, BAT, MANA, GNT) mediante un modelo prophet simple para series de tiempo no lineales.

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

Web scrapped the stocks fundamentals for 502 stocks and carried out data analysis using SQL and POWER BI. Built a very useful visualization for Value Investing. Selected 5 stocks and predicted their price.

This repository holds the project Food Products Sales Forecasting which includes data preparation, data visualization, and forecasting for sales of food products.

Using Facebook Prophet model to predict HK stock price