A newer more updated version of the prometheus anomaly detector (https://github.com/AICoE/prometheus-anomaly-detector-legacy)
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Updated
May 27, 2023 - Jupyter Notebook
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.
COVID-19 Growth Forecast
Deep Reinforcement Learning for Trading
Proyecto AIreySalud. Machine Learning aplicado a calidad del aire. CDMX. SaturdaysAI-LATAM 2020
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.
Forecast Cryptocurrencies with Facebook's Prophet Procedure
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
Forecasting Bitcoin Prices via ARIMA, XGBoost, Prophet, and LSTM models in Python
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)
This Shinyapp does some basic analysis on the indices of Dhaka Stock Exchange. The future values of the indices are also forecasted using the Prophet forecasting procedure.
An actual RNN/PROPHET model that could forecast crypto price flow (Uncompleted)
Predicting disease spread, a DrivenData competition. I'am currently participating in this competition. I used it as submission for the second capstone project in the course 'Professional Certificate in Data Science' provided by Harvard University (HarvardX) on EDX.
Basic Idea - Predict the price of avocado sold in the US using a historical dataset using Facebook Prophet and visualizations.
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