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Nov 13, 2024 - Jupyter Notebook
shap-values
Here are 30 public repositories matching this topic...
Weighted Shapley Values and Weighted Confidence Intervals for Multiple Machine Learning Models and Stacked Ensembles
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Oct 23, 2024 - R
A demonstration of the explainerdashboard package that that displays model quality, permutation importances, SHAP values and interactions, and individual trees for sklearn RandomForestClassifiers, etc
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Oct 15, 2024 - Python
Financial distress prediction from Kaggle
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Oct 8, 2024 - Jupyter Notebook
This project uses Explainable AI (XAI) to interpret machine learning models for diagnosing faults in industrial bearings. By applying SVM and kNN models and leveraging SHAP values, it enhances the transparency and reliability of machine learning in industrial condition monitoring.
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Sep 10, 2024 - Jupyter Notebook
Classification model using Gradient Goosted Trees with feature selection and explainability
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Aug 17, 2024
Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.
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Jul 18, 2024 - Python
Github Repository for the paper "Different Algorithms (Might) Uncover Different Patterns: A Brain-Age Prediction Case Study" - BIBM 2023
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Apr 28, 2024 - Jupyter Notebook
Repo for Manzano Analytics HTML website
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Feb 23, 2024 - HTML
ML-solution of the case of the District hackathon Leaders of Digital 2023. The task was to predict accidents (accidents, pipe ruptures, fires) based on the weather forecast for each of the urban districts. Gradient boosting (macro f1), cross-validation, shap values.
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Dec 24, 2023 - Jupyter Notebook
Loan-Default-Prediction
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Sep 7, 2023 - Jupyter Notebook
This project was developed during the course Laboratory of Computational Physics
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Jul 22, 2023 - Jupyter Notebook
In this project, we have to create a predictive model which allows the company to maximize the profit of the next marketing campaign
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Apr 30, 2023 - Jupyter Notebook
Predicción del precio de venta de las viviendas en venta y de las viviendas en alquiler de Barcelona.
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Apr 27, 2023 - Jupyter Notebook
Explainable Landscape-Aware Optimization Performance Prediction
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Mar 12, 2023 - Jupyter Notebook
Experimenting with SHAP values to explain how a given Machine Learning model works.
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Dec 25, 2022 - Jupyter Notebook
Prediction if patients with symptoms have COVID-19 based on clinical variables (blood related variables, urine related variables, age, etc)
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Dec 8, 2022 - Jupyter Notebook
Android malware detection using machine learning.
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Nov 23, 2022 - Jupyter Notebook
In this project, I have utilized survival analysis models to see how the likelihood of the customer churn changes over time and to calculate customer LTV. I have also implemented the Random Forest model to predict if a customer is going to churn and deployed a model using the flask web app.
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Sep 30, 2022 - Jupyter Notebook
🐍 Mental Maps Related to Contents in Data Science 🐍
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Sep 3, 2022
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