Forecast of energy demand in France with periodic re-training.
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Feb 19, 2025 - HTML
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forecasting-models
Here are 391 public repositories matching this topic...
ADCIRC Model Repository
weather storm fortran element mesh meteorology forecasting surge adcirc forecasting-models finite hurricane flooding tropical asgs
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Feb 19, 2025 - Fortran
Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.
python statistics timeseries time-series reconciliation econometrics forecasting hierarchical mint forecasting-models topdown coherent probabilistic-models erm baselines time-series-forecasting bottomup middleout hierarchical-forecast permbu
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Feb 19, 2025 - Python
A Time Series Analysis of the healthyverse R pacakges
data-science r ai time-series ml data-analytics forecasting data-analysis forecasting-models time-series-analysis forecast-on-demand
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Feb 19, 2025 - R
Forecasting Fixed Rate Mortgage Average in The United States
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Feb 18, 2025 - HTML
This study compares popular Machine Learning (ML), Deep Learning (DP), and statistical algorithms for forecasting microservice time series.
machine-learning deep-learning time-series sklearn pytorch forecasting-models time-series-prediction time-series-forecasting auto-arima neural-computing
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Feb 17, 2025 - Jupyter Notebook
Lisflood OS (Calibration tool)
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Feb 19, 2025 - Python
Build predictive analytics solution for inventory management.
python aws-lambda aws-cloudwatch aws-dynamodb data-pipeline forecasting-models demand-forecasting prophet-model
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Feb 14, 2025 - Python
A comprehensive data engineering project that implements an end-to-end ETL pipeline for weather data, incorporating data collection, storage, transformation, and visualization.
docker airflow timeseries s3 lstm openweathermap-api aws-rds batch-processing forecasting-models etl-pipeline streamlit
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Feb 14, 2025 - Python
PyTorch implementation of Ryan Keisler's 2022 "Forecasting Global Weather with Graph Neural Networks" paper (https://arxiv.org/abs/2202.07575)
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Feb 12, 2025 - Python
A Load Forecasting Prediction System with Frontend
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Feb 9, 2025 - Jupyter Notebook
The DigitalTwin-Water-ML repository uses AI/ML to forecast water consumption and detect leakages using data from digital twins of villages. It employs LSTM and Prophet models for time-series forecasting, processing both historical and real-time data.
machine-learning-algorithms water forecasting-models lstm-neural-networks digitaltwins timeseries-forecasting prophet-model
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Feb 6, 2025 - Jupyter Notebook
[MACHINE LEARNING] Optimizing Demand Planning with Promotion-Based Sales Forecasting
data-science random-forest linear-regression gbm data-analysis knn forecasting-models elasticnet business-analytics estatistic
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Jan 31, 2025 - Python
This project leverages time-series analysis and machine learning techniques to forecast CO₂ emissions based on historical data. By employing models like ARIMA, Prophet, and regression approaches, it aims to provide accurate predictions and uncover key trends to inform sustainable decision-making. Developed entirely in Kaggle Notebooks.
data-science data machine-learning eda predictive-modeling forecasting-models time-series-analysis dataanalysis mlmodels
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Jan 23, 2025 - Jupyter Notebook
Projects related to data science
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Feb 4, 2025
Leveraging K-Means clustering and advanced visual analysis to uncover trip patterns, optimize fleet allocation, analyze customer behavior, and identify geographical hotspots for the Haggis Hoppers Taxi Business.
exploratory-data-analysis visual-analysis feature-engineering forecasting-models clustering-techniques
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Jan 14, 2025 - Jupyter Notebook
Engineered a real-time Cryptocurrency dashboard on AWS using Python, MageAI, SQL, and NLP for sentiment analysis, with ML forecasting and PowerBI integration for dynamic reporting and decision-making.
python aws data-science sql-server sentiment-analysis kafka-streams powerbi webscraping nlp-machine-learning forecasting-models hosting-aws mageai
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Jan 10, 2025 - Jupyter Notebook
[AAAI'25] The implementation of paper "Federated Foundation Models on Heterogeneous Time Series" | The first work to explore time series foundation models on federated setting.
time-series classification imputation pretrained-models forecasting-models anomaly-detection federated-learning foundation-models
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Jan 10, 2025 - Jupyter Notebook
LSTM-based forecasting model for predictive maintenance in manufacturing settings, analyzing time series data from IoT sensors with Python and Keras
python tensorflow python3 predictive-modeling forecasting-models keras-tensorflow lstm-neural-network
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Jan 4, 2025 - Jupyter Notebook
🌧️ Forecast the future to prepare for rainy days
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Jan 21, 2025 - TypeScript
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