😎 Everything about class-imbalanced/long-tail learning: papers, codes, frameworks, and libraries | 有关类别不平衡/长尾学习的一切：论文、代码、框架与库

Efficient Permutation-based GWAS for Normal and Skewed Phenotypic Distributions

Official Implementation of ACMMM'21 paper "Wisdom of (Binned) Crowds: A Bayesian Stratification Paradigm for Crowd Counting"

pylambertw - sklearn interface to analyze and gaussianize heavy-tailed, skewed data

LambertW R package: Lambert W x F distributions and Gaussianization for skewed & heavy-tailed data

Quantum ML for extremely imbalanced data

data engineering challenges and fun

Fix data skew by packing into bins

Skin lesion image analysis that draws on meta-learning to improve performance in the low data and imbalanced data regimes.

Mixtures-of-ExperTs modEling for cOmplex and non-noRmal dIsTributionS

Space-Time Statistical Quality Control of Extreme Precipitation Observation

Machine Learning Nano-degree Project : To help a charity organization identify people most likely to donate to their cause

Build predictive models on highly skewed data by selecting an example of fraudulent transactions in the financial institutions🚀

Course Major Project of Pattern Recognition and Machine Learning( CSL2050 )

A base possui informações obtidas de análises químicas de vinhos da mesma região da Itália, porém são provenientes de 3 diferentes cultivadores. A análise mostra a quantidade de 13 componentes achados em cada um dos 3 tipos de vinhos.

Predicting Time of Arrival for Food Delivery Service

This repository contains data visualization programs on various datasets done using python.