facebook-prophet-forecasting

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kennedyCzar /FORECASTING-1.0

Star38

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

neural-networks forecasting rnn lightgbm adaboost fibonacci-series prophet forecasting-models ema rsi time-series-analysis facebook-prophet-forecasting time-series-prediction macd relative-strength-index time-series-forecasting facebook-prophet signal-generator supertrend pivot-point

UpdatedNov 29, 2022
Python

thuynh323 /Time-series-forecasting

Star12

Exponential Smoothing, SARIMA, Facebook Prophet

time-series forecasting sales-forecasting facebook-prophet-forecasting exponential-smoothing sarima

UpdatedJan 3, 2021
Jupyter Notebook

datudar /kaggle-web-traffic-forecasting

Star6

📈 My solution to Kaggle's "Web Traffic Time Series Forecasting" competition, which uses Facebook's Prophet library to make predictions

kaggle-competition predictive-modeling facebook-prophet-forecasting website-traffic

UpdatedDec 14, 2017
Python

Gladrin22 /Stock-Prediction-Using-Facebook-Prophet

Star4

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

python3 datascience data-analytics facebook-prophet-forecasting facebook-prophet

UpdatedMay 26, 2022
Python

Ferdib-Al-Islam /fb-prophet-time-series-forcasting

Star3

Time series forecasting is a technique for the prediction of events through a sequence of time. Time-series forecasting decomposes the historical data into the baseline, trend, and seasonality. When a forecasting model doesn’t run as planned, we want to tune the parameters of the method with regards to the specific problem at hand. Tuning these …

python time-series-analysis fbprophet facebook-prophet-forecasting

UpdatedDec 14, 2019
Jupyter Notebook

PasanBhanu /time-series-forcasting-with-facebook-prophet-lstm-hybrid-model

Star2

Time series forecasting-based Kubernetes autoscaling using Facebook Prophet and Long Short-Term Memory

kubernetes facebook-prophet-forecasting long-short-term-memory proactive-autoscaling predictive-autoscaling kubernetes-autoscaling

UpdatedFeb 19, 2025
Jupyter Notebook

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

Star2

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

python influxdb time-series pandas kaggle forecasting prophet facebook-prophet-forecasting holt-winters facebook-prophet

UpdatedNov 14, 2019
Jupyter Notebook

abideenml /Tesseract-StockMarket-ForecastingEngine

Star2

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

java machine-learning real-time time-series trading javafx markets stock-market forecasting stock-price-prediction stocks alpaca time-series-analysis facebook-prophet-forecasting facebook-prophet alpaca-trading-api

UpdatedNov 1, 2023
Java

philip-mathew /streamlit-forecast-application

Star1

Data Science web application for automated forecasting of univariate time-series data using Facebook Prophet on Python-Streamlit.

python time-series facebook-prophet-forecasting streamlit-webapp automated-forecasting

UpdatedApr 12, 2021
Python

paocarvajal1912 /Forecasting_Net_Prophet

Star1

Time series analysis showing trend, seasonality, and periodicity decomposition; and forecasting using Facebook Prophet. The analysis makes extensive use of indexing data tools and of the Pandas and Datetime libraries.

python time-series datetime pandas data-analysis trends facebook-prophet-forecasting data-indexing periodicity-analysis seasonality-analysis

UpdatedMay 8, 2022
Jupyter Notebook

Iambrijeshrana /FreeCodeCamp-DS

Star0

This repository is created just for learning purpose, here we are going to implement various supervised machine algorithms based on the data to predict the target variable.

time-series machine-learning-algorithms neural-networks supervised-learning facebook-prophet-forecasting

UpdatedNov 29, 2021
Python

MellissaValle /Zillow_Real_Estate_Time_Series_analysis

Star0

Time Series Using ARIMA and Facebook Prophet

arima facebook-prophet-forecasting

UpdatedNov 21, 2021
Jupyter Notebook

Galliano13 /Store-Sales-Forecasting

Star0

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.

data-science machine-learning time-series pandas data-visualization forecasting data-manipulation facebook-prophet-forecasting facebook-prophet

UpdatedOct 17, 2022
Jupyter Notebook

nadiia-duiunova /Sales_Department

Star0

Prediction of future sales with fbprophet

facebook-prophet-forecasting time-series-forecasting

UpdatedMar 13, 2023
Jupyter Notebook

SayamAlt /Unemployment-Rate-Forecasting-using-Statsmodels-LSTMs-and-Prophet

Star0

Unemployment Rate Forecasting using Time Series techniques, leveraging Statsmodels, LSTMs, and Facebook's Prophet library to predict future unemployment trends. The project includes model comparison, hyperparameter tuning, and visualization of forecasted results.

deep-learning descriptive-statistics statsmodels lstm-neural-networks time-series-analysis facebook-prophet-forecasting time-series-forecasting arima-forecasting auto-arima augmented-dickey-fuller-test stationarity-test model-performance-comparison time-series-generation

UpdatedOct 7, 2024
Jupyter Notebook

eiliaJafari /Predicting_Crime_Rate_in_Chicago

Star0

PREDICTING CRIME RATE IN CHICAGO USING FACEBOOK PROPHET

numpy prediction pandas seaborn matplotlib crime-rate-analysis-of-cities facebook-prophet-forecasting facebook-prophet predict-crime-statistics crime-rate

UpdatedApr 22, 2023
Jupyter Notebook

SayamAlt /Industrial-Production-Index-Time-Series-Forecasting

Star0

Industrial Production Index Time Series Forecasting using a range of models including Holt-Winters, ARIMA, SARIMA, LSTMs, and Facebook's Prophet. The project focuses on predicting production trends through model evaluation, tuning, and visualization of forecasted outcomes.

deep-learning recurrent-neural-networks statsmodels lstm-neural-networks sarimax facebook-prophet-forecasting triple-exponential-smoothing simple-exponential-smoothing time-series-forecasting arima-forecasting holt-winters-forecasting augmented-dickey-fuller-test double-exponential-smoothing pacf-autocorrelation acf-autocorrelation time-series-generation model-training-and-evaluation