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
- Animations of classifiers learning decision boundaries.☆22Updated 5 years ago
- Notebook and slides for my talk at Pydata NYC 2018☆88Updated last year
- Shapley Values with H2O AutoML Example (ML Interpretability)☆19Updated 6 years ago
- ☆12Updated 5 years ago
- Break Down with interactions for local explanations (SHAP, BreakDown, iBreakDown)☆83Updated last year
- Forecast the US demand for electricity☆100Updated 3 years ago
- Surrogate Assisted Feature Extraction☆37Updated 4 years ago
- Documentation for the DALEX project☆36Updated last year
- 100 Days of Experimenting with TensorFlow Probability☆39Updated 5 years ago
- Pre-Modelling Analysis of the data, by doing various exploratory data analysis and Statistical Test.☆51Updated 2 years ago
- Flexible tool for bias detection, visualization, and mitigation☆86Updated 7 months ago
- Explanatory Model Analysis. Explore, Explain and Examine Predictive Models☆193Updated last year
- Code and documentation for experiments in the TreeExplainer paper☆188Updated 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
- Quick Implementation in python☆53Updated 5 years ago
- Repo containing code for Towards Data Science articles☆29Updated 5 years ago
- Lecture notes for 'Interpretable Machine Learning' at WUT and UoW. Summer semester 2019/2020☆29Updated 5 years ago
- A Python package with explanation methods for extraction of feature interactions from predictive models☆31Updated last year
- Jupyter Notebook used for writing the article "Black-Box models are actually more explainable than a Logistic Regression" published in To…☆73Updated 2 years ago
- Nested cross-validation for unbiased predictions. Can be used with Scikit-Learn, XGBoost, Keras and LightGBM, or any other estimator that…☆64Updated 5 years ago
- ☆33Updated 2 years ago
- Prediction of hospital length-of-stay (LOS) at time of admission using gradient boosting☆39Updated 6 years ago
- How to use SHAP values for better cluster analysis☆59Updated 3 years ago
- A repository containing the materials required to complete the "AAAI Lab for Innovative Uses of Synthetic Data". This includes tutorials …☆12Updated last year
- Python implementation of iterative-random-forests☆67Updated last year
- Code for blog posts.☆20Updated last year
- Applied Machine Learning with Python☆80Updated last year
- Python package for Imputation Methods☆251Updated last year