AjayMukundS / Categorical_similarity_measures
Library for python community to find the similarity or distance between two entities containing categorical data
☆19Updated 4 years ago
Alternatives and similar repositories for Categorical_similarity_measures:
Users that are interested in Categorical_similarity_measures are comparing it to the libraries listed below
- Causing: CAUsal INterpretation using Graphs☆56Updated last month
- Python package for Gower distance☆76Updated 8 months ago
- 📈🔍 Lets Python do AB testing analysis☆76Updated 9 months ago
- Embed categorical variables via neural networks.☆59Updated last year
- Multi-target Random Forest implementation that can mix both classification and regression tasks☆24Updated 4 years ago
- mlmachine accelerates machine learning experimentation☆30Updated 3 years ago
- Example usage of scikit-hts☆57Updated 2 years ago
- Helpers for scikit learn☆16Updated 2 years ago
- CentOS based Docker container for Time Series Analysis and Modeling.☆21Updated 5 years ago
- CinnaMon is a Python library which offers a number of tools to detect, explain, and correct data drift in a machine learning system☆77Updated 2 years ago
- ☆45Updated 4 years ago
- Hierarchical Time Series Forecasting using Prophet☆144Updated 3 years ago
- Package that returns a company embedding given a company name☆42Updated 4 years ago
- ☆14Updated 6 months ago
- Repository for the research and implementation of categorical encoding into a Featuretools-compatible Python library☆51Updated 2 years ago
- Record matching and entity resolution at scale in Spark☆32Updated last year
- Python package for Bayesian Tests / AB Testing☆40Updated 4 years ago
- Python library to explain Tree Ensemble models (TE) like XGBoost, using a rule list.☆49Updated 9 months ago
- Similarity encoding of dirty categorical variables (strings)☆20Updated 6 years ago
- scikit-mine : pattern mining in Python☆72Updated last year
- An unsupervised feature selection technique using supervised algorithms such as XGBoost☆89Updated last year
- The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).☆58Updated last year
- 🪜 Bayesian Hierarchical Models at Scale☆52Updated 3 years ago
- 🧮 Extended Latent Dirichlet Allocation for Collaborative Filtering in Recommender Systems.☆41Updated 2 years ago
- A python Library for Intermittent Demand Methods: Croston, SBA, SBJ, TSB, HES, LES and SES☆32Updated last year
- Scikit-Learn compatible transformer that turns categorical variables into dense entity embeddings.☆42Updated last year
- Machine Learning models using a Bayesian approach and often PyMC3☆25Updated 4 years ago
- Python Interface of the Scalable Bayesian Rule Lists☆19Updated 4 years ago
- Multiple change detection with python☆22Updated 6 years ago
- A Python library that implements scoring utilities, analysis strategies, and visualization methods which can serve uplift modeling use-ca…☆22Updated last year