👶 Technical concepts explained in layman terms! git.io/eli5

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

Summarize, explain, fact-check, or translate any text, URL, or file. No GPU. No cloud. One command

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

In the deepest waters of the ocean, the orca navigates with intelligence, curiosity, and precision — the same spirit that guides every research journey.

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

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

understand Genaro Network in 1 minute

Graduation Project - Sentiment Mining

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.

E-Commerce Comment Classification with Logistic Regression and LDA model

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.

ELI5 — A Claude Code skill that explains anything to anyone: kids, managers, engineers, parents. Adapts tone, vocabulary, and analogies to match the audience.

explain anything

2022년 1학기 개인 프로젝트 : 뇌졸증 환자 예측 모델·분석

How does Word2Vec work ?

Learning to represent text using Word2Vec

Machine Learning Feature-Importance Using SHAP and eli5

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