This repository introduces some basics on time series. It also presents ARIMA models and its variants as well as the Facebook Prophet forecasting model.

Forecasting Exercises done in R

We, the Green-Hawk team, are competing in the NASA Space App Challenge 2021 under the theme "WARNING: THINGS ARE HEATING UP!".  We used time series analysis and forecasting to forecast how our beloved planet's temperature will change over the next 100 years.

Predict future stock prices with this Streamlit web app. Choose a company, set the forecast period, and visualize historical data and forecasted trends. Powered by machine learning with the Prophet library. Try it now!

stock value prediction with pyhton

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

This Project analyses the carbon footprint of the U.S. commercial sector using three machine learning models. A combination of energy consumption data and carbon dioxide emission data was used to achieve the carbon footprint variable.

A time-series forecasting model in Prophet for projection of business potential data.

The aim of this repo is to predict forecast for the future of a specific area, where up to 30 years forecast being predicted using Prophet Model.

Training time-series prediction models to predict future avocado prices using Prophet

- Introduction to time series using Facebook Prophet.

Streamlit Data Web Application using Facebook’s forecasting algorithm - Prophet

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.

A python Project that use syfinance, pandas, and webbrowser to display information about Stocks and exporting them to .CSV file. Also predict Stock prices

Prophet Based Weather Forecasting Miniproject

Air quality index with Prophet - Tutorial

Prophet time series forecasting model was developed by Facebook and is a powerful tool for predicting future events. Here's how to use it to forecast & understand your Data

In this repository, I’ve built a Python program that predicts temperature trends using real historical data from the Daily Delhi Climate dataset.

Predict cash that should be allocated to ATM is crucial. If the ATM is lack of money, customer couldn't get the cash they need then customer satisfaction will decrease. With prophet, model created by Facebook data team, we could conduct time series forecasting to decide amount of money needed.