Projects in Awesome Lists tagged with model-interpretation
A curated list of projects in awesome lists tagged with model-interpretation .
https://github.com/parrt/dtreeviz
A python library for decision tree visualization and model interpretation.
data-science decision-trees machine-learning model-interpretation python random-forest scikit-learn visualization xgboost
Last synced: 26 Dec 2025
https://github.com/PaddlePaddle/InterpretDL
InterpretDL: Interpretation of Deep Learning Models，基于『飞桨』的模型可解释性算法库。
convolutional-neural-networks explanations grad-cam interpretation-algorithms lime model-interpretation nlp-models paddlepaddle smoothgrad vision-transformer visualizations
Last synced: 11 May 2025
https://github.com/paddlepaddle/interpretdl
InterpretDL: Interpretation of Deep Learning Models，基于『飞桨』的模型可解释性算法库。
convolutional-neural-networks explanations grad-cam interpretation-algorithms lime model-interpretation nlp-models paddlepaddle smoothgrad vision-transformer visualizations
Last synced: 06 Apr 2025
https://github.com/aniketmaurya/chitra
A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model Deployment.
bounding-boxes deep-learning fastapi gradcam hacktoberfest image-classification image-dataset image-processing machine-learning mlops model-deployment model-interpretation model-serving model-visualization object-detection python pytorch tensorflow visualization
Last synced: 15 May 2025
https://github.com/jcm-ai/standard-bank-data-science-virtual-experience-programme
This repository has all of the assignments I had to do for the Standard Bank Data Science Virtual Experience Program. 📉👨💻📊📈
automl business-analysis business-solutions client-communication data-analysis data-mining data-science data-visualization machine-learning machine-learning-algorithms matplotlib-pyplot model-evaluation model-interpretation power-point presentation-slides programming-language python3 seaborn sql statical-analysis
Last synced: 16 Sep 2025
https://github.com/jcm-ai/BCG-Open-Access-Data-Science-Advanced-Analytics-Virtual-Experience-Program
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. 📊📈📉👨💻
business-understanding client-communication communication creativity data-visualization exploratory-data-analysis feature-engineering hypothesis-framing jupyter-notebooks machine-learning-algorithms machine-learning-engineering mathematical-modelling matplotlib-pyplot model-evaluation model-interpretation programming python-3 seaborn statistical-analysis synthesis
Last synced: 19 Aug 2025
https://github.com/bhattbhavesh91/dtreeviz-tutorial
Visualize a Decision Tree using dtreeviz
decision-tree-algorithm decision-tree-classifier decision-tree-regression decision-trees dtreeviz machine-learning model-interpretation python visualization
Last synced: 10 May 2026
https://github.com/prajwalchapke055/cognizant-artificial-intelligence-job-simulation-forage
Advise one of Cognizant’s clients on a supply chain issue by applying knowledge of machine learning models.
artificial-intelligence cognizant communication data-analysis data-modeling data-visualization development evaluation forage job-simulation machine-learning machine-learning-algorithms machine-learning-engineering model-interpretation presentation problem-statement python quality-assurance skills virtual-internship
Last synced: 17 May 2026
https://github.com/lefteris-souflas/election-classification-and-clustering-analysis
Creating predictive models to classify Trump's vote share and clustering counties based on demographics and economic variables. Report findings in PDF with detailed methodologies, model assessments, and R code for the project.
agglomerative-algorithm bootstrap-sampling classification clustering cross-validation data-cleaning decision-tree hierarchical-clustering model-evaluation model-interpretation predictive-analytics r random-forest silhouette-analysis statistics support-vector-machine variable-importance
Last synced: 02 Aug 2025
https://github.com/virajbhutada/titanic-survival-prediction
ML project focused on predicting Titanic passenger survival using various algorithms and extensive data analysis techniques. This project includes detailed data visualization and interpretation to uncover key factors affecting survival. By leveraging various ML models the analysis aims to achieve high predictive accuracy.
ada-boost-classifier data-exploration data-science data-visualization decision-tree-classifier hyperparameter-tuning knn-classification logistic-regression machine-learning model-interpretation random-forest-classifier roc-curve titanic-classification
Last synced: 14 Jun 2026
https://github.com/jcm-ai/Standard-Bank-Data-Science-Virtual-Experience-Programme
This repository has all of the assignments I had to do for the Standard Bank Data Science Virtual Experience Program. 📉👨💻📊📈
automl business-analysis business-solutions client-communication data-analysis data-mining data-science data-visualization machine-learning machine-learning-algorithms matplotlib-pyplot model-evaluation model-interpretation power-point presentation-slides programming-language python3 seaborn sql statical-analysis
Last synced: 19 Aug 2025
https://github.com/taimoorkhan10/ai-fairness-explainability-toolkit
AI Fairness and Explainability Toolkit (AFET) is an open-source project aimed at providing tools and frameworks to assess, visualize, and mitigate bias in machine learning models. It supports multiple ML frameworks and offers a comprehensive suite of metrics and visualization components to enhance model transparency and fairness.
ai bias-detection data-science ethical-ai explainable-artificial-intelligence fairness machine-learning mlops model-interpretation open-source python responsible-ai scikit-learn
Last synced: 19 Jan 2026
https://github.com/teja-1403/forage-bcg-x-data-science
About This repository contains solutions to the 4 different tasks that must be performed during the Data Science virtual internship provided by BCG X via Forage.
business-understanding client-communication data-evaluation data-science data-visualization exploratory-data-analysis hypothesis-framing model-interpretation
Last synced: 27 Jan 2026
https://github.com/lefteris-souflas/propensity-to-lapse-model-building-exercise
Analyzed customer churn using transaction data. Built ML model to predict lapses. Dataset includes customer status, collection/redemption info, and program tenure. Delivered business presentation outlining modeling approach, findings, and churn reduction strategies.
cluster-analysis data-driven-decisions data-preprocessing data-splitting decision-tree feature-engineering gradient-boosting logistic-regression model-interpretation model-optimization model-selection-and-evaluation neural-network random-forest sas-visual-analytics support-vector-machine
Last synced: 06 Mar 2026
https://github.com/gauravpandeylab/ensemble_integration
Integrating multimodal data through heterogeneous ensembles
dataintegration model-interpretation multimodal protein-function-prediction
Last synced: 15 May 2025
