An open API service providing repository metadata for many open source software ecosystems.

GitHub topics: facebook-prophet

husskhosravi/ML-timeseries-forecasting

Electricity consumption forecasting using multiple Time Series models: Linear Regression, Facebook Prophet, ARIMAX and Exponential Smoothing

Language: Jupyter Notebook - Size: 2.13 MB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 0 - Forks: 0

poudelsangam77/Comprehensive-Analysis-and-Forecasting-of-Air-Quality-in-Kathmandu

This project analyzes air quality trends in Kathmandu, Nepal, using machine learning and time-series forecasting. It predicts AQI levels in real time using Random Forest and forecasts future pollution levels (24/48/72 hours) with Facebook Prophet. An interactive Streamlit dashboard allows users to visualize trends and forecast AQI

Language: Jupyter Notebook - Size: 9.32 MB - Last synced at: 14 days ago - Pushed at: 14 days ago - Stars: 1 - Forks: 1

Silbena/WorldViz

World temperature analysis and forecasting with Plotly.

Language: Python - Size: 14.2 MB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 0 - Forks: 0

331Dala/time_series_forcasting

Using Facebook Prophet easily get trained model.(Also can use IBM watson ,which more convinient. Even you need do nothing If that way.)

Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

Gaurav0502/electricity-forecasting

Forecasting daily electricity consumption 💡 with Portuguese weather data on precipitation 🌧️ and temperature 🌡️

Language: Jupyter Notebook - Size: 5.53 MB - Last synced at: about 4 hours ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 1

baychimo/loto 📦

Fun with lottery numbers. Statistics and predictions.

Language: Python - Size: 2.22 MB - Last synced at: 9 days ago - Pushed at: about 3 years ago - Stars: 9 - Forks: 2

nabeel-oz/qlik-py-tools

Data Science algorithms for Qlik implemented as a Python Server Side Extension (SSE).

Language: Python - Size: 132 MB - Last synced at: 13 days ago - Pushed at: about 4 years ago - Stars: 187 - Forks: 87

Relostar-Devil/Analyzing-the-Trends-of-COVID-19-with-Python

Understanding COVID-19 pandemic trends using Facebook Prophet by forecasting case numbers for the upcoming week, providing a predictive glimpse into the near future.

Language: Jupyter Notebook - Size: 1.24 MB - Last synced at: 28 days ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

riya-malviya/stock-prediction

Web application built using Streamlit that allows users to visualize and analyze stock market data.

Language: Python - Size: 175 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

vip0411/Tesla-Stock-Price-Prediction-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.

Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

justinhchae/stocks

Sentiment Analysis for Stock Prediction

Language: Python - Size: 4.48 MB - Last synced at: 29 days ago - Pushed at: almost 4 years ago - Stars: 8 - Forks: 4

soumyadeepghoshGG/Crypto-Predictor-using-price-from-Binance-API

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

Language: HTML - Size: 19 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

jack-balster/Stock-Forecasting-Dashboard

Forecasting app that utilizes a customizable forecasting model that trains on historical stock data using the Meta Prophet library. Integrated multiple APIs, such as the Yahoo Finance API, to pull stock ticker data as well as relevant news articles. Frontend built with Streamlit and Plotly to provide an intuitive UI with interactive charts.

Language: Python - Size: 985 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

Prophet-Barnes/Potato-Price-Forecasting-using-FB-Prophet

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.

Language: HTML - Size: 1.18 MB - Last synced at: 9 months ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

joleilvillena/PH-Power-Demand

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

Language: Jupyter Notebook - Size: 4.86 MB - Last synced at: 10 months ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

soumyadeepghoshGG/COVID-19-Time-Series-Analysis

Time Series analysis of COVID-19 dataset.

Language: Jupyter Notebook - Size: 1.81 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 2 - Forks: 0

ameermak/FBProphetForecast

Facebook Prophet model for time-series forecasting on product sales data

Language: Jupyter Notebook - Size: 519 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

rahulhegde99/Time-Series-Analysis-and-Forecasting-of-Air-Passengers

Using Facebook Prophet to forecast the number of air passengers.

Language: Jupyter Notebook - Size: 523 KB - Last synced at: about 1 year ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

jnopareboateng/ml-library

Machine Learning Projects on Time Series Forecasting

Language: Jupyter Notebook - Size: 568 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

kennedyCzar/FORECASTING-1.0

Predictive algorithm for forecasting the mexican stock exchange. Machine Learning approach to forecast price and Indicator behaviours of MACD, Bollinger and SuperTrend strategy

Language: Python - Size: 16.3 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 35 - Forks: 17

gumdropsteve/intro_to_prophet

Repo to Intro to Prophet Medium Story

Language: Jupyter Notebook - Size: 4.46 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 9 - Forks: 8

abideenml/Tesseract-StockMarket-ForecastingEngine

Tesseract: Stock Market Forecasting 📈 Engine with JavaFX, Alpaca Trading and Facebook Prophet 💸 to analyze, forecast and trade stocks.

Language: Java - Size: 8.9 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

AdiPokharna/Tesla-Stock-Price-Prediction-using-Facebook-Prophet

Created a Tesla stock price prediction model using Facebook Prophet using Yahoo Finance and predicted stock price for Tesla stock for the next month. And we can also do this any stock by forecast automation process. I did it for Amazon stock as well.

Language: Jupyter Notebook - Size: 781 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

nitinjosephrepo/Marketing-Mix-Modeling-MMM-Using-Robyn

A New GeneratUsing Robyn aims to reduce human bias in the modeling process, esp. by automating modelers decisions like adstocking, saturation, trend & seasonality as well as model validation. Moreover, the budget allocator & calibration enable actionability and causality of the results

Language: R - Size: 267 KB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

AbdulstarKousa/Measuring-behavioral-change-within-mobile-app-usage

This project aims at studying temporal behaviour of smartphone app users, with special focus at changes in usage. The analysis will rely on time series techniques to detect change points and forecast shifts in usage. In particular, we will leverage univariate timeseries approaches.

Size: 6.77 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

geehaad/Time-Series_Different-models

understand Time series forecasting with different models in python, and fine tune the hyper-parameters to get the least possible error.

Language: Jupyter Notebook - Size: 7.93 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

aeroDeepFlow/Time-Series

Forecasting Time Series with differents algorithms

Language: Jupyter Notebook - Size: 5.68 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

EdoardoGruppi/DAPS_assignment

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.

Language: Python - Size: 2.09 MB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 0

uselessskills/auto_ml

In this repository we test AutoML approaches for time-series forecasting

Language: Jupyter Notebook - Size: 44.4 MB - Last synced at: over 1 year ago - Pushed at: almost 7 years ago - Stars: 12 - Forks: 6

avneesh1mehta/Cryptocurrency-Price-Predictor

Uses Facebook Prophet to analyze time-series data and make predictions on cryptocurrency prices

Language: Jupyter Notebook - Size: 628 KB - Last synced at: almost 2 years ago - Pushed at: about 7 years ago - Stars: 16 - Forks: 4

Galliano13/Store-Sales-Forecasting

Utilized facebook prophet to perform forecasting on datasets that consist sales data from 1115 stores. Our predictive model attempts at forecasting future sales based on historical data while taking into account seasonality effects, demand, holidays, promotions, and competition.

Language: Jupyter Notebook - Size: 2.12 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 1

SophiaVei/Walmart-sales-prediction

Predicting Walmart sales based on a specific store and specific departments

Language: Jupyter Notebook - Size: 6.09 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

chillibits/particulate-matter-forecast 📦

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

Language: Python - Size: 17 MB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

tariqshaban/global-warming-analyzer 📦

A set of exploratory and forecasting methods conducted on multiple datasets concerning global warming variables, utilizing Python

Language: Python - Size: 5.08 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

ethansilvas/mercadolibre-time-series-analysis

Time series analysis of Mercado Libre that uses Prophet ML models to forecast Google search traffic and future revenue

Language: Jupyter Notebook - Size: 58.1 MB - Last synced at: 12 months ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

beckyydo/retail-machine-learning

Using Python, Javascript, Postgres and HTML built a retail dashboard containing interactive visualization and forecast generated by Facebook Prophet and other machine learning models. Grocery recommendation system uses k-means clustering and the surprise algorithm

Language: Jupyter Notebook - Size: 38.3 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 8 - Forks: 7

Az-otrope/Coffee-stock-price-forecast-with-Prophet

Time series forecast using Prophet

Language: Jupyter Notebook - Size: 790 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

sumanra/Final_Project

An Interactive Financial Dashboard for investors who are interested in obtaining stock insights of various companies including various financial institution stocks. Power BI Business Analytics is the platform used to present the Visualization of the data. The Dashboard allow investors to interactively analyze various stocks prices to current market Machine Learning for price prediction using Facebook Prophet and Long Short Term Memory models

Language: Jupyter Notebook - Size: 41.1 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 4 - Forks: 2

emunozlorenzo/MyCheatSheets

Awesome cheatsheets for Data Science

Language: Jupyter Notebook - Size: 1.81 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 10 - Forks: 7

Gladrin22/Stock-Prediction-Using-Facebook-Prophet

Predicting stocks using Facebook prophet. for some big tech companies (TSLA, GOOG ,MSFT, FB, AAPL, NVDA, PYPL, ADBE, NFLX )

Language: Python - Size: 35.2 KB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 3 - Forks: 1

Frostday/Financely Fork of EnigmAI/Financely

Financely is an AI based financial adviser and user portfolio management system.

Language: Jupyter Notebook - Size: 7.76 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

KashmalaJamshaid/TESLA-Stock-Price-Prediction-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.

Language: Jupyter Notebook - Size: 150 KB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

skaty5678/prophet_forecasting

Beginner time series forecasting using Facebook's Prophet.

Language: Jupyter Notebook - Size: 4.49 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

hagijakobson/daily-web-page-views-forecast

Time series forecast with Facebook Prophet — Straight to the point tutorial

Language: Jupyter Notebook - Size: 3.77 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

stereopickle/real_estate_prediction

Time Series Forecasting of the housing price in Queens using the SARIMA, Facebook Prophet, and the LSTM

Language: Jupyter Notebook - Size: 32.7 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 2

aureliowozhiak/facebook_prophet_covid19

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

Language: Jupyter Notebook - Size: 53.1 MB - Last synced at: about 16 hours ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

goncaloperes/TimeSeries

Language: Python - Size: 5.86 KB - Last synced at: about 1 month ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 0

Elias-YJ/bsc-thesis

Projection predictive method for Prophet models in Python.

Language: Jupyter Notebook - Size: 15.8 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

Nishaanth1611/Time-Series-Air-Quality

Air Quality Time Series Analysis using Facebook-Prophet

Language: Jupyter Notebook - Size: 868 KB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

brianjhuang/datahacks-2021

This is our DataHacks 2021 submission for the advanced track sponsored by Vulcan.

Language: Jupyter Notebook - Size: 10.1 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

prabormukherjee/facebook-prophet

Predicting future prices using Facebook Prophet

Language: Jupyter Notebook - Size: 2.65 MB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 0

scirag/fbprophet-docker

Alpine based Docker Image for Facebook Prophet

Language: Dockerfile - Size: 43.9 KB - Last synced at: about 2 years ago - Pushed at: almost 6 years ago - Stars: 7 - Forks: 1

syedirfanx/time-forecast-facebook-prophet

Predicting future product prices using Facebook Prophet.

Language: Jupyter Notebook - Size: 2.18 MB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

luthra2059/Predicting-Future-Product-Prices-Using-Facebook-Prophet

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.

Language: Jupyter Notebook - Size: 1.65 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

Yoyodyne-Data-Science/schiphol-passengers

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

Language: Jupyter Notebook - Size: 9.5 MB - Last synced at: almost 2 years ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 0

AshtrayShetty/Stocker-Kalpana

Prediction of stock prices over the next 1 to 5 years using Facebook Prophet

Language: CSS - Size: 16.4 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 2 - Forks: 1

TIAGOOOLIVEIRA/Kaggle-Forecasting-the-optimal-number-of-agents-for-a-Contact-Center

Kaggle - Time-series Forecasting the optimal number of agents for a Contact Center: Facebook Prophet, InfluxDB Holt-Winter

Language: Jupyter Notebook - Size: 5.97 MB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 2

lcarcamo1526/avocado-prices

Preciting avocado prices using Facebook Prophet

Language: Jupyter Notebook - Size: 1.47 MB - Last synced at: about 2 years ago - Pushed at: almost 6 years ago - Stars: 0 - Forks: 0

RLZW/Facebook-Epidemics-HackMTY-2018

A project that aims to prevent Dengue epidemics using crowd sourced real time data through Facebook SDK

Language: Java - Size: 827 KB - Last synced at: almost 2 years ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0

Related Keywords
facebook-prophet 59 forecasting 19 time-series 16 python 15 machine-learning 12 prophet 9 time-series-forecasting 8 facebook-prophet-forecasting 7 arima 7 time-series-analysis 6 pandas 5 data-science 5 prediction 5 stock-price-prediction 4 yahoo-finance 3 lstm 3 sarimax 3 stock-market 3 plotly 3 timeseries 3 sklearn 3 python3 3 deep-learning 3 sentiment-analysis 3 covid-19 2 streamlit 2 datascience 2 seaborn 2 price-prediction 2 arima-forecasting 2 data-analytics 2 time 2 sales 2 sarima 2 clustering 2 jupyter-notebook 2 facebook 2 forecasting-models 2 data-analysis 2 flask 2 deep-neural-networks 2 scikit-learn 2 pytorch 2 linear-regression 2 data-visualization 2 line-polar-plot 1 global-warming 1 global-temperature 1 sea-level 1 forecast-sales 1 recommender-system 1 stock-price 1 beutifulshoup 1 jupyter 1 arimax 1 cnn 1 fine-tuning 1 forcasting 1 mood-analysis 1 natural-language-processing 1 pandemic-analysis 1 stock-market-prediction 1 twitter 1 auto-sklearn 1 pyramid 1 bitcoin 1 coinmarketcap 1 cryptocurrencies 1 cryptocurrency-price-predictor 1 ethereum 1 series-data 1 data-manipulation 1 departments 1 pro 1 stores 1 walmart 1 ai 1 forecast-script 1 future 1 particulate-matter 1 choropleth-map 1 markdown 1 domain-knowledge-integration 1 eda 1 ml 1 alpine 1 docker 1 dockerfile 1 avocado-dataset 1 airport-passengers 1 bootstrap 1 flask-server 1 html-css-javascript 1 responsive 1 holt-winters 1 influxdb 1 kaggle 1 multivariate-linear-regression 1 android-application 1 facebook-api 1