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prophet-forecasting

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AndreBomfim99 / contabilidade-ml-databricks2

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Financial Analytics + ML: Databricks Data Lakehouse, Delta Lake, 4 ML models (RF, Isolation Forest, K-Means, Prophet), MLflow, Streamlit dashboard

python machine-learning time-series random-forest clustering scikit-learn supervised-learning forecasting classification unsupervised-learning databricks kmeans-clustering anomaly-detection isolation-forest mlops mlflow feature-store delta-lake financial-analytics prophet-forecasting
  • Updated Jan 2, 2026
  • Jupyter Notebook

hrithikvel28 / Public-Health-Outbreak-Prediction-With-Explainability

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Built an AI-powered outbreak prediction system using multi-domain health, mobility, and environmental data. Trained and evaluated multiple models, with XGBoost achieving 85.1% accuracy. Integrated SHAP and LIME for explainability and developed interactive D3.js dashboards with KPI cards for transparent public health decision support.

javascript python machine-learning machine-learning-algorithms jupyter-notebook visual-studio-code artificial-intelligence d3js hyperparameter-tuning geopandas scikitlearn-machine-learning xgboost-model pandas-python colab-notebook matplotlib-python numpy-python traditional-machine-learning model-explainability seaborn-python prophet-forecasting
  • Updated Nov 13, 2025
  • Jupyter Notebook

Vedant-ghadi / Sheffield-caz-analysis

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Time series analysis of Sheffield's Clean Air Zone effectiveness: ARIMA forecasting, Prophet modeling, ITS regression. Proven 30-44% NO₂ reduction with statistical significance (p<0.001). Complete R pipeline with reproducible methodology.

data-science r time-series air-quality public-health forecasting data-analysis arima prophet causal-inference time-series-analysis arima-model pollutant statistical-modeling time-series-forecasting pollution-prediction interrupted-time-series prophet-forecasting
  • Updated Jan 22, 2026
  • R

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