munas-git/USA-Energy-Demand-Forecasting-Prophet-NeuralProphet

Optimized demand forecasting using time series modeling with Prophet and NeuralProphet. Includes autoregressive memory, holiday effects, time-aware cross-validation, and hyperparameter tuning. Delivers interpretable, multi-horizon predictions for short-term accuracy and long-term grid planning purposes.

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AjNavneet/TimeSeries-Greykite-NeuralProphet-Walmart-Flask

Developed time series models utilizing Greykite and Neural Prophet on Walmart retail data, with Flask deployment for efficient and scalable access.

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f-linus/natural_gas_consumption_modelling

Language: Jupyter Notebook - Size: 29.6 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

a-memme/snap_dynamic_scheduling

Auto-ARIMA timeseries forecasting in combination with PELT changepoint detection to predict social media viewership performance and identify major changes in performance trends. Models are deployed into a streamlit webapp for analytical functionality.

Language: Python - Size: 46.9 KB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

nicomignoni/tsdb

Project Work for TSDB Ph.D. Course (2 ECTS, 2022)

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jonathanAmancioSales/Previsao_Series_Temporais_Prophet_Python

Algoritmo para previsão de séries temporais usando as bibliotecas Prophet e NeuralProphet em Python.

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Pranavd0828/NIFTY50-StockMarket

Size: 17.4 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0