facebook-prophet-forecasting
There are 20 repositories under facebook-prophet-forecasting topic.
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
thuynh323/Time-series-forecasting
Exponential Smoothing, SARIMA, Facebook Prophet
datudar/kaggle-web-traffic-forecasting
:chart_with_upwards_trend: My solution to Kaggle's "Web Traffic Time Series Forecasting" competition, which uses Facebook's Prophet library to make predictions
Ferdib-Al-Islam/fb-prophet-time-series-forcasting
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 methods requires a thorough understanding of how the underlying time series models work. A typical analyst/engineer will not know how to adjust these orders to avoid the problem. The Prophet package provides intuitive parameters which are easy to tune. Even someone like me who lacks expertise in forecasting models can use this to make meaningful predictions for a variety of problems in a business scenario.
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 )
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
abideenml/Tesseract-StockMarket-ForecastingEngine
Tesseract: Stock Market Forecasting 📈 Engine with JavaFX, Alpaca Trading and Facebook Prophet 💸 to analyze, forecast and trade stocks.
paocarvajal1912/Forecasting_Net_Prophet
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.
philip-mathew/streamlit-forecast-application
Data Science web application for automated forecasting of univariate time-series data using Facebook Prophet on Python-Streamlit.
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.
Iambrijeshrana/FreeCodeCamp-DS
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.
lcarcamo1526/avocado-prices
Preciting avocado prices using Facebook Prophet
MellissaValle/Zillow_Real_Estate_Time_Series_analysis
Time Series Using ARIMA and Facebook Prophet
Merveilleuse/Honours_project
Honours Dissertation Resources
Omaroid/BlentOilPriceForcastProphet
Blent oil price forcast using Facebook Prophet
CincoCoding/Forecasting-Using-Facebook-Prophet-ML
Predicting The Future Using Facebook's Unsupervised Learning Machine Learning Procedure Prophet
eiliaJafari/Predicting_Crime_Rate_in_Chicago
PREDICTING CRIME RATE IN CHICAGO USING FACEBOOK PROPHET
nadiia-duiunova/Sales_Department
Prediction of future sales with fbprophet