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https://github.com/pramodkondur/dominoes-timeseriesforecasting
This advanced forecasting tool leverages Long Short-Term Memory (LSTM) networks to predict daily sales for 91 types of pizzas and the required quantities of 64 ingredients. By analyzing historical pizza order data, the system provides accurate future demand forecasts, enabling optimized inventory management and purchase planning.
https://github.com/pramodkondur/dominoes-timeseriesforecasting
business-intelligence datascience deep-learning keras lstm-neural-networks machine-learning matplotlib pandas predictive-modeling python real-time-prediction real-world-project sckiit-learn seaborn streamlit tensorflow timeseries-forecasting
Last synced: about 1 month ago
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This advanced forecasting tool leverages Long Short-Term Memory (LSTM) networks to predict daily sales for 91 types of pizzas and the required quantities of 64 ingredients. By analyzing historical pizza order data, the system provides accurate future demand forecasts, enabling optimized inventory management and purchase planning.
- Host: GitHub
- URL: https://github.com/pramodkondur/dominoes-timeseriesforecasting
- Owner: pramodkondur
- Created: 2024-09-16T09:37:10.000Z (3 months ago)
- Default Branch: master
- Last Pushed: 2024-09-16T11:55:39.000Z (3 months ago)
- Last Synced: 2024-11-21T16:14:12.088Z (about 1 month ago)
- Topics: business-intelligence, datascience, deep-learning, keras, lstm-neural-networks, machine-learning, matplotlib, pandas, predictive-modeling, python, real-time-prediction, real-world-project, sckiit-learn, seaborn, streamlit, tensorflow, timeseries-forecasting
- Homepage:
- Size: 8.49 MB
- Stars: 0
- Watchers: 1
- Forks: 1
- Open Issues: 0