[Research] Transformer 기반 광고 기여도 모델 제안
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Jan 17, 2025 - Jupyter Notebook
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conversion-prediction
Here are 10 public repositories matching this topic...
AI-driven healthcare project for early prediction of conversion from Mild Cognitive Impairment (MCI) to Alzheimer's disease (AD). The system integrates OCR and NLP techniques to extract clinical information from handwritten medical records and leverages Machine Learning and Deep Learning models for neuroimaging-based analysis and prediction.
machine-learning ocr deep-learning neuroimaging alzheimer-s-disease mild-cognitive-impairment diagnosis-prediction conversion-prediction
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Jun 20, 2026 - Jupyter Notebook
python machine-learning scikit-learn crm xgboost lightgbm predictive-modeling lead-scoring shap propensity-modeling conversion-prediction
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Sep 27, 2026 - HTML
Large-scale e-commerce user behavior analysis and session-level purchase prediction with DuckDB, Parquet and LightGBM.
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Jun 27, 2026 - Python
Online shopping session conversion prediction and Streamlit experiment dashboard
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Aug 10, 2026 - Jupyter Notebook
Predicting customer conversion in digital marketing campaigns with scikit-learn & XGBoost — feature selection, tuning, and a stacking ensemble (0.80 balanced accuracy).
python data-science machine-learning scikit-learn feature-selection xgboost classification ensemble-learning digital-marketing hyperparameter-tuning imbalanced-data conversion-prediction
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Jul 16, 2026 - Jupyter Notebook
Real-time e-commerce session conversion scoring — LSTM 0.9868 AUC · FastAPI 27ms · 121 tests · Live demo on HuggingFace
python docker machine-learning real-time deep-learning pytorch transformer lstm xgboost e-commerce mlflow shap fastapi sequence-modeling conversion-prediction
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May 29, 2026 - Python
Comparative analysis of supervised learning for predicting conversion in an automotive case with special focus on imbalanced learning
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Nov 20, 2022 - Jupyter Notebook
An LSTM for ad conversion-rate prediction (pCVR) — last 50 user behavior events in, purchase probability out. Logistic regression baseline, strict time-based splits, FastAPI serving. 100M Taobao events.
machine-learning deep-learning pytorch recurrent-neural-networks lstm ad-tech computational-advertising fastapi cvr-prediction sequence-modeling conversion-prediction
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Sep 7, 2026 - Python
Data science project analysing digital marketing data to identify customer conversion drivers and build predictive classification models.
data-science machine-learning ggplot2 r random-forest customer-conversion xgboost classification data-analysis logistic-regression digital-marketing predictive-modeling elastic-net statistical-modeling marketing-analytics conversion-prediction
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Sep 16, 2026 - R
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