This repository contains data and code for counterfactual time series analysis of air pollutant concentrations in the United States.
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Jan 27, 2021 - R
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sarima-models
Here are 15 public repositories matching this topic...
Analyzed historical monthly sales data of a company. Created multiple forecast models for two different products of a particular Wine Estate and recommended the optimum forecasting model to predict monthly sales for the next 12 months along with appropriate lower and upper confidence limits
time-series forecasting exponential-moving-average moving-average exponential-smoothing arima-models sarima-models
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Feb 9, 2022 - Jupyter Notebook
Prepare a document for each model explaining how many dummy variables you have created and RMSE value for each model. Finally which model you will use for Forecasting.
data-science forecasting arima time-series-analysis sarimax triple-exponential-smoothing time-series-prediction simple-exponential-smoothing time-series-forecasting holt-winters-forecasting sarima-models double-exponential-smoothing
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Aug 27, 2022 - Jupyter Notebook
This is a final project for a Time Series course. My professor told me I could further work on it.
r time-series arma trends autocorrelation arima-model autoregression autoregressive-moving-average sarima-models
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Nov 11, 2021 - R
Consulting an imaginary real estate investment firm using historical housing sales price data and SARIMAX time series modeling. Flatiron Module 4 Project.
real-estate consulting time-series arma forecasting investment arima time-series-analysis sarimax arima-model time-series-forecasting arima-forecasting sarima arimax sarima-model sarima-models
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Jan 4, 2021 - Jupyter Notebook
CoronaTracker Covid19 Twitter Data Visualization and Analysis
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Jun 21, 2021 - JavaScript
In this project, we leverage time series forecasting techniques to make educated estimates of wine sales throughout the 20th century.
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Jan 2, 2024 - Jupyter Notebook
This project is a customizable real estate market forecasting tool with 10 ready-to-use time series SARIMA models of states including New York, California and Texas.
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Oct 6, 2024 - Python
Time series forecasting system for retail book sales (NDA-safe). Includes SARIMA, XGBoost, LSTM and hybrid models on weekly and monthly horizons.
machine-learning deep-learning time-series tensorflow scikit-learn keras python3 xgboost forecasting nda statsmodels demand-forecasting sarimax ltsm auto-arima kerastuner sarima-models retail-analytics
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Nov 28, 2025 - Jupyter Notebook
Collecting, analyzing and forecasting sensory data from esp32 sensory devices.
influxdb openstreetmap flask-application grafana-dashboard telegram-bot-api http-protocol mqtt-protocol iot-device iot-application iot-analytics coap-protocol esp32-arduino arima-forecasting raspberry-pi-4 sarima-models meteostat
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Dec 8, 2022 - Python
Auto-Forecasting is a web application that takes in an excel file with univariate time series data and provides forecasts. Auto-Forecasting works on SARIMA modeling.
python heroku machine-learning time-series arma flask-application forecasting machinelearning arima heroku-deployment time-series-analysis forecasting-model sarima univariate-analysis auto-forecasting sarima-models
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Apr 4, 2024 - HTML
Study and research on the hourly Time Series of electricity price from Italy. My interest would be to obtain both short and long term forecasts. I employ two univariate methods: sARIMA modelling and Prophet
prophet time-series-analysis electricity-market electricity-prices high-frequency sarima prophet-model sarima-models prophet-facebook prophet-library
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May 12, 2021
Techniques include EDA, seasonal decomposition, stationarity testing, and implementation of forecasting models like ARIMA, SARIMA, and Holt-Winters (Triple Exponential Smoothing). Models were evaluated using RMSE, with SARIMA and Holt-Winters delivering the best performance for seasonal and trend-based forecasts.
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Jan 22, 2025 - Jupyter Notebook
Forecasting Finnish timber prices using SARIMA and XGBoost models in Python
python data-science machine-learning cross-validation decomposition forecasting data-analysis timber time-series-analysis data-vi xgboost-algorithms sarima-models
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Apr 29, 2025 - Python
📈 Forecast weekly and monthly book sales using advanced models like SARIMA, XGBoost, LSTM, and hybrid approaches for accurate retail insights.
machine-learning deep-learning time-series tensorflow scikit-learn keras xgboost forecasting nda statsmodels demand-forecasting sarimax ltsm auto-arima kerastuner sarima-models retail-analytics
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Jan 1, 2026 - Jupyter Notebook
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