rodrigobressan / keras_boston_housing_priceLinks
Keras 101: A simple Neural Network for House Pricing regression
☆14Updated 5 years ago
Alternatives and similar repositories for keras_boston_housing_price
Users that are interested in keras_boston_housing_price are comparing it to the libraries listed below
Sorting:
- An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model☆74Updated 5 years ago
- How to Interpret SHAP Analyses: A Non-Technical Guide☆56Updated 3 years ago
- Documentation for the DALEX project☆36Updated last year
- Notebook and slides for my talk at Pydata NYC 2018☆88Updated last year
- Explanatory Model Analysis. Explore, Explain and Examine Predictive Models☆192Updated last year
- Workshop materials for ODSC 2019 Interpretability Talk☆25Updated 5 years ago
- ☆12Updated 5 years ago
- Flexible tool for bias detection, visualization, and mitigation☆86Updated 7 months ago
- Break Down with interactions for local explanations (SHAP, BreakDown, iBreakDown)☆83Updated last year
- Tutorial in Python targeted at Epidemiologists. Will discuss the basics of analysis in Python 3☆172Updated 2 years ago
- Pre-Modelling Analysis of the data, by doing various exploratory data analysis and Statistical Test.☆51Updated 2 years ago
- Survival Analysis with non-parametric, semi-parametric, and parametric models☆39Updated 7 years ago
- Surrogate Assisted Feature Extraction☆37Updated 4 years ago
- How to use SHAP values for better cluster analysis☆59Updated 3 years ago
- Animations of classifiers learning decision boundaries.☆22Updated 5 years ago
- Forecast the US demand for electricity☆100Updated 3 years ago
- LCA implementation for python☆42Updated 3 years ago
- Exploratory repository to study predictive survival analysis models☆35Updated 2 years ago
- Developmental tools to detect data drift☆17Updated last year
- Shapley Values with H2O AutoML Example (ML Interpretability)☆19Updated 6 years ago
- ☆29Updated 4 years ago
- Code and documentation for experiments in the TreeExplainer paper☆185Updated 5 years ago
- A Random Survival Forest implementation for python inspired by Ishwaran et al. - Easily understandable, adaptable and extendable.☆60Updated 9 months ago
- Sample use case for Xavier AI in Healthcare conference: https://www.xavierhealth.org/ai-summit-day2/☆27Updated last year
- ☆14Updated 6 years ago
- Quick Implementation in python☆53Updated 5 years ago
- Python implementation of iterative-random-forests☆67Updated last year
- Repository for the research and implementation of categorical encoding into a Featuretools-compatible Python library☆51Updated 3 years ago
- Predict whether a student will correctly answer a problem based on past performance using automated feature engineering☆32Updated 5 years ago
- autoxgboost - Automatic tuning and fitting of xgboost☆124Updated 3 years ago