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

• UpdatedMay 27, 2023
• Jupyter Notebook

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

• UpdatedDec 11, 2018
• Jupyter Notebook

Amazon SageMaker Local Mode Examples

• UpdatedFeb 11, 2025
• Python

Detection and Prediction of Air quality Index

• UpdatedJan 18, 2021
• Jupyter Notebook

Modeling time series of electricity spot prices using Deep Learning.

• UpdatedDec 14, 2024
• Jupyter Notebook

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

• UpdatedSep 30, 2022
• Python

Deep Reinforcement Learning for Trading

• UpdatedOct 10, 2022
• Jupyter Notebook

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

• UpdatedAug 3, 2021
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COVID-19 Growth Forecast

• UpdatedDec 13, 2022
• Jupyter Notebook

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

• UpdatedJul 7, 2021
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JP morgan virtual internship Quantitative Research

• UpdatedDec 24, 2023
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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

• UpdatedJul 6, 2021
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Using Machine Learning for time series forecasting of photovoltaic measurement for solar systems based on weather features

• UpdatedMar 18, 2024
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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.

• UpdatedFeb 25, 2023
• Jupyter Notebook

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 …

• UpdatedAug 16, 2020
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Pharma Sales Analysis and Forecasting using ARIMA, PROPHET and NEURAL NETWORKS

• UpdatedDec 15, 2022
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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.

• UpdatedMar 19, 2021
• HTML

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

• UpdatedApr 27, 2021
• Jupyter Notebook

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.

• UpdatedApr 29, 2020
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Analysis and prediction of air pollutant concentration and AQI using Prophet and SARIMAX

• UpdatedMay 1, 2021
• Jupyter Notebook