Forecasting Facebook prophet time series

PREDICTING CRIME RATE IN CHICAGO USING FACEBOOK PROPHET

AI based script for predicting the particulate matter values of the future 🔮

Time series forecasting for Dow Jones Industrial Average using Facebook Prophet

Preciting avocado prices using Facebook Prophet

This repository aims to build a Facebook Prophet Machine learning model that can forecast the price of Tesla 30 days in advance. The effectiveness of the model is also evaluated by looking at Tesla's prior performance using data visualization methods.

Time Series analysis of COVID-19 dataset.

Proof-of-concept forecasting model of the power generation demand in Luzon

The project deals with scrapping data from National Horticultural Research and Development Foundation’s (NHRDF) website to extract the prices of potatoes in Bengaluru in past years and using Facebook Prophet for forecasting future prices of potatoes.

A straightforward application of facebook's prophet package by using it to predict airport passenger numbers through Schiphol airport.

Predicting future product prices using Facebook Prophet.

The prediction of the Microsoft stock value is addressed pursuing two distinct strategies: 1 starting from solely the company's stock data, 2 leveraging also the overall sentiment towards the company extracted from Twitter and the records related to the ongoing pandemic.

Projection predictive method for Prophet models in Python.

Here we train time-series prediction models to predict future product prices. This project could be practically applied in the banking, retail, and healthcare sectors.

Using Facebook Prophet to forecast the number of air passengers.

Air Quality Time Series Analysis using Facebook-Prophet

A python module to fetch live data from Binance API, to predict trend and components of various crypto currencies.

Análisando a série temporal dos casos de Corona Virus no Brasil e criando previsões com o Facebook Prophet

Stock price time series analysis and forecasting is a method used to analyze and predict future movements in the stock market. Time series analysis involves examining the historical data of a stock to identify trends and patterns, which can then be used to make predictions about future price movements.