fau-is / next-best-action
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
- Here I'll publish all of my personal projects that relate to Data Science in Marketing☆47Updated 4 years ago
- A tutorial about Machine Learning Interpretability☆17Updated 6 years ago
- https://arxiv.org/abs/2009.01561☆23Updated 2 years ago
- Extensive tutorials for the Advanced NLP Workshop in Open Data Science Conference Europe 2020. We will leverage deep learning and deep tr…☆50Updated last year
- A methodology designed to validate the statistical similarity of synthetic data generated by GAN models. The metrics contain Auto-encoder…☆11Updated 4 years ago
- A beer recommendation system using multi-armed bandit approach to solve cold start problems☆11Updated 4 years ago
- Predict customer churn with text and interpretability.☆12Updated 3 years ago
- An unsupervised feature selection technique using supervised algorithms such as XGBoost☆90Updated last year
- Instance Neighbouring by using Knowledge☆16Updated 7 months ago
- Repository for the results of my master thesis, about the generation and evaluation of synthetic data using GANs☆44Updated last year
- ☆30Updated 3 years ago
- Materials for conference talks and workshops☆31Updated last year
- Pre-Modelling Analysis of the data, by doing various exploratory data analysis and Statistical Test.☆51Updated last year
- Confusion Matrix in Python: plot a pretty confusion matrix (like Matlab) in python using seaborn and matplotlib☆19Updated 3 years ago
- Personalized Purchase Prediction of Market Baskets with Wasserstein-Based Sequence Matching☆19Updated 5 years ago
- nbsynthetic is simple and robust tabular synthetic data generation library for small and medium size datasets☆66Updated 2 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 3 months 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
- Iowa House Prices Kaggle (top 5%)☆13Updated 10 months ago
- A Natural Language Interface to Explainable Boosting Machines☆66Updated 10 months ago
- GluonTS Implementation of Intermittent Demand Forecasting with Deep Renewal Processes arXiv:1911.10416v1 [cs.LG]☆31Updated 3 years ago
- AML End to End Example☆54Updated 2 years ago
- Sentiment Analysis of COVID-19 Vaccine-related Twitter Data☆10Updated 3 years ago
- ☆16Updated 3 years ago
- The repository for various machine learning POC☆28Updated 3 years ago
- Transforming textual descriptions into process models using deep learning☆14Updated 5 years ago
- Code for blog posts.☆19Updated last year
- ☆17Updated 3 years ago
- Notebooks on using transformers for sequential recommendation tasks☆16Updated 2 years ago