rodrigobressan / keras_boston_housing_priceLinks
Keras 101: A simple Neural Network for House Pricing regression
☆14Updated 6 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
- ☆12Updated 5 years ago
- Explanatory Model Analysis. Explore, Explain and Examine Predictive Models☆195Updated last year
- Break Down with interactions for local explanations (SHAP, BreakDown, iBreakDown)☆83Updated last year
- Flexible tool for bias detection, visualization, and mitigation☆86Updated 8 months ago
- Surrogate Assisted Feature Extraction☆37Updated 4 years ago
- Animations of classifiers learning decision boundaries.☆22Updated 5 years ago
- How to use SHAP values for better cluster analysis☆59Updated 3 years ago
- Python implementation of R package breakDown☆43Updated 2 years ago
- Pre-Modelling Analysis of the data, by doing various exploratory data analysis and Statistical Test.☆51Updated 2 years ago
- Notebooks of Python and R code which illustrates basic causal inference using simulated data☆23Updated 6 years ago
- Workshop materials for ODSC 2019 Interpretability Talk☆25Updated 5 years ago
- Categorical Embedder is a python package that let's you convert your categorical variables into numeric via Neural Networks☆25Updated 5 years ago
- Developmental tools to detect data drift☆18Updated last year
- GAMI-Net: Generalized Additive Models with Structured Interactions☆31Updated 3 years ago
- LCA implementation for python☆42Updated 3 years ago
- Python tutorial on machine learning with time series for DSSGx 2020☆23Updated 5 years ago
- Repo containing code for Towards Data Science articles☆29Updated 5 years ago
- A Python package with explanation methods for extraction of feature interactions from predictive models☆31Updated last year
- Notebook and slides for my talk at Pydata NYC 2018☆88Updated last year
- Automated exploratory data analysis☆83Updated 6 years ago
- Code for blog posts.☆20Updated 2 years ago
- Prediction of hospital length-of-stay (LOS) at time of admission using gradient boosting☆40Updated 6 years ago
- TabNet for fastai☆124Updated last month
- Survival Analysis with non-parametric, semi-parametric, and parametric models☆39Updated 7 years ago
- xverse (XuniVerse) is collection of transformers for feature engineering and feature selection☆118Updated 2 years ago
- Hands-on tutorial on ML Fairness☆72Updated 2 years ago
- Python implementation of iterative-random-forests☆68Updated last year