A python library for decision tree visualization and model interpretation.

• UpdatedMar 6, 2025
• Jupyter Notebook

InterpretDL: Interpretation of Deep Learning Models，基于『飞桨』的模型可解释性算法库。

• UpdatedSep 4, 2024
• Python

A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model Deployment.

• UpdatedJan 7, 2025
• Python

• UpdatedMay 10, 2021
• Python

Overview of different model interpretability libraries.

• UpdatedJul 2, 2022
• Jupyter Notebook

A set of tools for leveraging pre-trained embeddings, active learning and model explainability for effecient document classification

• UpdatedJan 23, 2025
• HTML

FastAI Model Interpretation with LIME

• UpdatedFeb 7, 2019
• Jupyter Notebook

What Has Been Enhanced in my Knowledge-Enhanced Language Model?

• UpdatedOct 26, 2022
• Python

Official implementation of HyPepTox-Fuse framework

• UpdatedMar 3, 2025
• Python

Overview of machine learning interpretation techniques and their implementations

• UpdatedJan 5, 2021
• Jupyter Notebook

Integrating multimodal data through heterogeneous ensembles

• UpdatedDec 27, 2023
• Python

Model Interpretability via Hierarchical Feature Perturbation

• UpdatedMar 30, 2020
• Python

Implémentation d'un modèle de scoring (OpenClassrooms | Data Scientist | Projet 7)

• UpdatedJan 31, 2021
• Jupyter Notebook

This repository has all of the assignments I had to do for the Standard Bank Data Science Virtual Experience Program. 📉👨‍💻📊📈

• UpdatedDec 12, 2022
• Jupyter Notebook

The tasks I was required to complete as a part of the BCG Open-Access Data Science & Advanced Analytics Virtual Experience Program are all contained in this repository. 📊📈📉👨‍💻

• UpdatedSep 9, 2022
• Jupyter Notebook

Using LIME and SHAP for model interpretability of Machine Learning Black-box models.

• UpdatedSep 13, 2019
• Jupyter Notebook

Visualize a Decision Tree using dtreeviz

• UpdatedFeb 20, 2022
• Jupyter Notebook

Advise one of Cognizant’s clients on a supply chain issue by applying knowledge of machine learning models.

• UpdatedMar 30, 2024
• Jupyter Notebook

This repository contains the LifeExpectancy Prediction Project, a comprehensive data science project aimed at predicting life expectancy based on various health, economic, and social factors. The project includes steps for data preprocessing, exploratory data analysis (EDA), model selection, training, hyperparameter tuning, and model interpretation

• UpdatedMay 29, 2024
• Jupyter Notebook

Exploratory data analysis, data modelling, model building and interpretation, machine learning production, quality assurance

• UpdatedAug 14, 2023
• Jupyter Notebook