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

Modeling time series of electricity spot prices using Deep Learning.

:octocat: Detection and Prediction of Air quality Index :octocat:

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

Deep Reinforcement Learning for Trading

An AI-powered personal finance tracker to manage expenses, predict spending, and plan budgets using machine learning.

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

JP morgan virtual internship Quantitative Research

COVID-19 Growth Forecast

The DigitalTwin-Water-ML repository uses AI/ML to forecast water consumption and detect leakages using data from digital twins of villages. It employs LSTM and Prophet models for time-series forecasting, processing both historical and real-time data.

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

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

Forecasting the price of Bitcoin’s during or post 2024 halving using Facebook Prophet

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.

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

In this work, we will approach the forecast of daily closing price series of the Bitcoin cryptocurrency using data on prices of prior years (January 2016 to August 2020).

Full Stack Web Development, Machine Learning, and Deep Learning in Python. Content from Various courses as well as personal projects. (Currently largest repo 10/6/2020)

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.

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.

Analysis and prediction of air pollutant concentration and AQI using Prophet and SARIMAX

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

This project aims to forecast the future web traffic for approximately 145,000 Wikipedia articles.

Using Facebook Prophet model to predict HK stock price

An intelligent stock Price prediction platform built with Python & Flask. Fetches historical/fundamental data, applies Prophet time-series forecasting & technical indicators, and delivers easy-to-understand prediction reports.

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The purpose of this study is to predict the strength and locations of earthquakes in Indonesia in the coming years and to determine the maximum earthquake strength that will occur in 2024 using Prophet Forecasting model.