lenskit / lk-demo-experiment
Example project for running LensKit experiments
☆13Updated last year
Related projects ⓘ
Alternatives and complementary repositories for lk-demo-experiment
- A Scalable Data Cleaning Library for PySpark.☆26Updated 5 years ago
- How to do data science with Optimus, Spark and Python.☆18Updated 5 years ago
- Spark NLP for Streamlit☆15Updated 3 years ago
- This is the source code of the paper "Inferring Complementary Products from Baskets and Browsing Sessions"☆11Updated 5 years ago
- Python implementation of "Content-based recommendations with poisson factorization", with some extensions☆30Updated last year
- Building recommender Systems using contextual bandit methods to address cold-start issue and online real-time learning☆10Updated 3 years ago
- Building an API with the FastAPI framework to serve a scikit-learn model.☆18Updated 5 years ago
- Notebooks on using transformers for sequential recommendation tasks☆16Updated last year
- Repository for experiments with MetaProd2Vec and related algorithms.☆58Updated 5 years ago
- In-Session Personalization Workshop for eCommerce, April 2021, and the MICES Workshop in June 2021.☆22Updated 3 years ago
- An experiment on explicit vs implicit feedback recommenders☆25Updated 6 years ago
- Factoried Personalized Markov Chains for Next Basket Recommendation in R and Python☆10Updated 6 years ago
- Machine Learning encoders for feature transformation & engineering: target encoder, weight of evidence, label encoder.☆23Updated 4 years ago
- CentOS based Docker container for Time Series Analysis and Modeling.☆21Updated 5 years ago
- ☆14Updated 6 years ago
- Experimental library for sampling and validating scikit-learn parameters☆10Updated 5 years ago
- Techniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.☆21Updated 2 years ago
- Predict the poverty of households in Costa Rica using automated feature engineering.☆23Updated 4 years ago
- A machine learning algorithm written to predict severity of insurance claim☆19Updated 8 years ago
- ☆20Updated 3 years ago
- Enterprise Solution for Text Classification (using BERT)☆10Updated last year
- Model explanation provides the ability to interpret the effect of the predictors on the composition of an individual score.☆13Updated 3 years ago
- Predict and recommend the news articles, user is most likely to click in real time.☆30Updated 6 years ago
- Work for Mastering Large Datasets with Python☆18Updated last year
- ☆11Updated 6 years ago
- A curated list of resources on credit card fraud detection.☆14Updated 3 years ago
- Deep Learning (Keras) Models Deployment using SQL databases☆17Updated 5 years ago
- Predict whether a student will correctly answer a problem based on past performance using automated feature engineering☆32Updated 4 years ago
- ☆16Updated 3 years ago
- ☆18Updated 2 years ago