skewed-data

😎 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

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

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

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

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

Quantum ML for extremely imbalanced data

data engineering challenges and fun

Fix data skew by packing into bins

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

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

Trying to recogize and predict fraud in financial transactions is a good example of binary classification analysis. A transaction either is fraudulent, or it is genuine. What makes fraud detection especially challenging is the is the highly imbalanced distribution between positive (genuine) and negative (fraud) classes.

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.

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

This interview-preparation set contains practical coding questions focused on PySpark DataFrame coding, Window Functions, Broadcast Joins, Optimization, Z-Ordering, CDC, SCD, repartition/coalesce, flattening nested data, Delta Lake, and real-world scenarios.