Topic: model-interpretation Goto Github
Some thing interesting about model-interpretation
Some thing interesting about model-interpretation
model-interpretation,Overview of machine learning interpretation techniques and their implementations
User: akifcinar
model-interpretation,A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model Deployment.
User: aniketmaurya
Home Page: https://chitra.readthedocs.io/en/latest/
model-interpretation,FastAI Model Interpretation with LIME
User: anurags25
model-interpretation,Visualize a Decision Tree using dtreeviz
User: bhattbhavesh91
model-interpretation,Model Interpretability via Hierarchical Feature Perturbation
Organization: craven-biostat-lab
model-interpretation,API backend to deploy a machine learning model to the web
User: ericpaul075
model-interpretation,Streamlit dashboard frontend (user interface) to deploy a machine learning model to the web
User: ericpaul075
model-interpretation,Integrating multimodal data through heterogeneous ensembles
Organization: gauravpandeylab
model-interpretation,Exploratory data analysis, data modelling, model building and interpretation, machine learning production, quality assurance
User: harsh19012003
model-interpretation,A set of tools for leveraging pre-trained embeddings, active learning and model explainability for effecient document classification
User: hellisotherpeople
Home Page: https://huggingface.co/spaces/Hellisotherpeople/Interpretable_Text_Classification_And_Clustering
model-interpretation,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. 📊📈📉👨💻
User: jagadishmali567
model-interpretation,This repository has all of the assignments I had to do for the Standard Bank Data Science Virtual Experience Program. 📉👨💻📊📈
User: jagadishmali567
model-interpretation,I performed 4 different tasks during the Data Science & Advanced Analytics virtual internship provided by BCG via Forage. I successfully utilized the Random Forest model to predict customers likely to churn, enabling me to proactively address potential losses.
User: kosimbachuigwe
model-interpretation,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.
User: lefteris-souflas
model-interpretation,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.
User: lefteris-souflas
model-interpretation,Prediction of students' dropout using classification models. Data visualisation, feature selection, dimensionality reduction, model selection and interpretation, parameters tuning.
User: lezippo
model-interpretation,This project included a XGBoost Regression model, which predict the purchase possibility of a customer customer based on their online shopping behavior. In addtion, a recommendation model including both CF and CBF was built using customer purchase transaction data.
User: maggieubc
Home Page: https://www.kaggle.com/datasets/retailrocket/ecommerce-dataset
model-interpretation,Using LIME and SHAP for model interpretability of Machine Learning Black-box models.
User: mohitr7
model-interpretation,Statistical Modelling of Swine Flu Outbreak Data
User: nidhimanthale
model-interpretation,InterpretDL: Interpretation of Deep Learning Models,基于『飞桨』的模型可解释性算法库。
Organization: paddlepaddle
Home Page: https://interpretdl.readthedocs.io
model-interpretation,A python library for decision tree visualization and model interpretation.
User: parrt
model-interpretation,Advise one of Cognizant’s clients on a supply chain issue by applying knowledge of machine learning models.
User: prajwalchapke055
model-interpretation,Cognizant Artificial Intelligence job simulation on Forage.
User: riccardoprosdocimi
model-interpretation,The primary objective of this study is to develop a dependable and precise prediction model to forecast alterations in Bitcoin's hash rate.
User: rrambhia22
model-interpretation,Materials for the TAMU Datathon 2020 workshop on "Model Interpretability".
User: sheelabhadra
model-interpretation,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
User: shubhro2002
Home Page: https://www.kaggle.com/code/alonelysoul/life-expectancy-analysis-and-prediction
model-interpretation,Implémentation d'un modèle de scoring (OpenClassrooms | Data Scientist | Projet 7)
User: smellyarmure
model-interpretation,Benchmarking bank data to enhance marketing strategies. Models: Decision Tree and Random Forest. Libraries: Pandas, Matplotlib, Seaborn, Scikit-Learn, Numpy. Findings: Customer patterns and seasonal behaviors.
User: smrodrigo96
model-interpretation,Overview of different model interpretability libraries.
User: tannergilbert
Home Page: https://gilberttanner.com/tag/model-interpretation/
model-interpretation,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.
User: virajbhutada
Home Page: https://github.com/virajbhutada/Titanic-Survival-Prediction-ML
model-interpretation,Computer vision project for classifying American sign language.
User: yakupkaplan
model-interpretation,What Has Been Enhanced in my Knowledge-Enhanced Language Model?
User: yifan-h
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A server is a program made to process requests and deliver data to clients.
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Open source projects and samples from Microsoft.
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