😎 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 low data and imbalanced data regimes.

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

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

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

Space-Time Statistical Quality Control of Extreme Precipitation Observation

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

This is a data mining model to predict client behavior within an organization, enabling better alignment with client needs. The model determines whether clients are likely to churn using advanced data preprocessing and imbalanced learning techniques. The dataset for this analysis was sourced from Kaggle.

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

Predicting Time of Arrival for Food Delivery Service