fau-is / next-best-actionLinks
Prescriptive business process monitoring for recommending next best actions (nba)
☆30Updated 3 years ago
Alternatives and similar repositories for next-best-action
Users that are interested in next-best-action are comparing it to the libraries listed below
Sorting:
- Scripts related to predictive business process monitoring framework with structured and unstructured (textual) data.☆8Updated 6 years ago
- https://arxiv.org/abs/2009.01561☆23Updated 2 years ago
- Feature Selection using Simulated Annealing☆11Updated 2 years ago
- A tutorial about Machine Learning Interpretability☆17Updated 6 years ago
- Python Implementation of Decay Replay Mining (DREAM)☆27Updated 2 years ago
- ☆17Updated 8 months ago
- A methodology designed to validate the statistical similarity of synthetic data generated by GAN models. The metrics contain Auto-encoder…☆11Updated 5 years ago
- Synthetic data generation by a Variational AutoEncoder with Differential Privacy assessed using Synthetic Data Vault metrics☆45Updated 2 years ago
- nbsynthetic is simple and robust tabular synthetic data generation library for small and medium size datasets☆68Updated 2 years ago
- An End-to-End Implementation of AutoML with H2O, MLflow, FastAPI, and Streamlit for Insurance Cross-Sell☆77Updated 3 years ago
- Detection of Accounting Anomalies in the Latent Space using Adversarial Autoencoder Neural Networks - A lab we prepared for the KDD'19 Wo…☆88Updated 5 years ago
- A Web Application to Support Research in Predictive Monitoring Tasks (docs: https://bit.ly/2XdXmth)☆24Updated 4 years ago
- Repository for the results of my master thesis, about the generation and evaluation of synthetic data using GANs☆45Updated 2 years ago
- Counterfactual SHAP: a framework for counterfactual feature importance☆20Updated last year
- Using ChatGPT to build a Kedro ML pipeline and Streamlit frontend☆30Updated 2 years ago
- Recency, Frequency, and Monetary are three behavioral attributes and are quite simple, in that they can be easily computed for any databa…☆15Updated last year
- Machine Learning for Retail Sales Forecasting — Features Engineering☆66Updated 8 months ago
- Datasets for the TensorHouse project☆20Updated last year
- ☆17Updated 3 years ago
- An unsupervised feature selection technique using supervised algorithms such as XGBoost☆90Updated last year
- Iowa House Prices Kaggle (top 5%)☆13Updated last year
- Building Knowledge Graphs from Unstructured Text☆26Updated 5 years ago
- Implementing A/B Tests in Python☆28Updated 5 years ago
- Automatically transform all categorical, date-time, NLP variables to numeric in a single line of code for any data set any size.☆65Updated 4 months ago
- Hypothesis and statistical testing in Python☆64Updated 4 years ago
- Example code for my article "How you can build simple recommender systems with Surprise".☆20Updated 4 years ago
- A Natural Language Interface to Explainable Boosting Machines☆67Updated 11 months ago
- Repository for GH public projects☆18Updated last year
- A beer recommendation system using multi-armed bandit approach to solve cold start problems☆11Updated 4 years ago
- Demo on how to use Prefect with Docker☆25Updated 2 years ago