eli5

Hellisotherpeople/Active-Explainable-Classification

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

akthammomani/Menara-App-Predict-House-Price-CA

Build a Web App called Menara to Predict, Forecast House Prices and search GreatSchools in California - Bay Area

fvinas/elih

ELIH: Explain Machine Learning predictions like I'm a human

AimVoma/Sentiment-Mining

Graduation Project - Sentiment Mining

GenaroNetwork/ELI5-Genaro

understand Genaro Network in 1 minute

ksharma67/Heart-Failure-Prediction

This problem is a typical Classification Machine Learning task. Building various classifiers by using the following Machine Learning models: Logistic Regression (LR), Decision Tree (DT), Random Forest (RF), XGBoost (XGB), Light GBM and Support Vector Machines with RBF kernel.

vincent27hugh/TextClassification-Logit-BOTopic

E-Commerce Comment Classification with Logistic Regression and LDA model

dhingratul/How-Does-Word2Vec-Work

How does Word2Vec work ?

dhingratul/Learning-To-Represent-Text

Learning to represent text using Word2Vec

josesousaribeiro/XAI-Benchmark

This is a repository for reproducibility purposes. In this research, a large number of datasets were used to create different ML models, which were then explained by XAI measures. Seeking to identify situations where XAI measures agreed or disagreed with each other.

raymondj-pace/ML-Feature-Importance-with-SHAP-and-eli5

Machine Learning Feature-Importance Using SHAP and eli5

samalyarov/telegram_monitor

A telegram channel parser + binary text classifier utilizing a simple logistic regression model

shinho123/Data-mining-project---stroke-prediction

2022년 1학기 개인 프로젝트 : 뇌졸증 환자 예측 모델·분석

dhingratul/Integer-To-k_ary-Encoder-Decoder

Binary to Decimal Encoder-Decoder using RNN with tensorflow

hosnaa/NLP_Gutenberg_Book_Classification

Classifying different books that are semantically close based on their name, then analyzing the misclassified segments by XAI

jarred13/Deeplearning_and_Diabetes

Using Deep Learning and other Machine Learning models to predict if someone has diabetes

JoKerDii/Predicting-Airbnb-House-Price

A xgboost predictor of Los Angeles house price

josesousaribeiro/eXirt-XAI-Pipeline

This is a repository for reproducibility purposes. In this research, a large number of datasets were used to create different ML models, which were then explained by XAI measures. Proposing a new measure of XAI called eXirt.

makcfd/Social_studies_lab

Social studies lab dedicated to preferences between NA and EU in board games

pranaykankariya97/Analyzing-TMDB-Dataset

The aim of the project is to analyze the TMDB Prediction Dataset.

rgdavies92/used-car-value

🚗 🚙 💰 Capstone ML project incorporating web scraping, regression modelling and novel use of the ELI5 package to obtain a used car value breakdown

vahadruya/Capstone_Regression_NYC_Taxi_Trip_Duration_Prediction

This project aims to predict the Taxi-trip duration within NYC based on several factors as predictors. Various combinations of relevant features are explored as iterations. After analysing the dataset, important and necessary features are selected. Several regression models are implemented & evaluated based on R2 & RMSE, & predictions visualised

akhilburle/ELI5-15-25

ELI5/15/25 Documentation Paradigm

beatabb/Matrix_DW

na podstawie kursu "Matrix - poznaj reguły gry", stworzonego przez DataWorkshop

berlinbrown/nanoGPT-verbose-eli5

The simplest, fastest repository for training/finetuning medium-sized GPTs - Verbose Version for ELI5

Datadolittle/modelinterpretability

Exploring feature contributions to outliers, feature importances, and image recognition features

maciej-zieniewicz/mushrooms_ml

Choosing strong features for classification purpose of edible and poisonous mushrooms.

pbar1/simplifier

:apple: Translate text to ELI5

robs898/bongo

Here I attempt to explain complex ideas in a simple, concise way.

Silvano315/Health-Insurance-Prediction

This repository aims to test some machine learning and ELI5 explainability technique in order to predict whether the customer would be interested in Vehicle insurance, you have information about demographics, vehicles, policy

ThianHooi/gpt-eli5

A web app that allow user to ask ChatGpt to explain a topic

vedantyetekar/medify

Medify is a MERN stack app that predicts heart disease using machine learning. Patients can send their medical data to their doctors through the app.

vkay616/python-ELI5-library-example

wasifferoze/easy-tensorflow-eli5