The machine learning project on UCI imbalanced data.

Implementation of the xgBoost classification technique on a highly imbalanced data set

Learning how to analyze imbalanced Data, implementing SMOTE and using unbalanced R package

Software to build Decision Trees for imbalanced data. To cite this Original Software Publication: https://www.sciencedirect.com/science/article/pii/S2352711021001242

"Biased resampling strategies for imbalanced spatio-temporal forecasting" -- DSAA 2019

The project involves deciding on the mode of transport that the employees prefer while commuting to the office.

Analyzing Online Prices by Using Machine Learning Techniques (master thesis) - Analysis part source code

Bank Marketing Analysis

Pseudo Code or parts of code to speed up the process of data exploration and model building with little modifications.

Using Machine Learning in predicting customer churn from bank credit card services

Results of binary classification of Yelp reviews as pertaining to conventional or alternative medicine using random forests

Code for "Machine learning methods for imbalanced data set for prediction of faecal contamination in beach waters".

Repositorio para los proyectos de la asignatura Sistemas Inteligentes para la Gestión en la Empresa (Business Intilligence) del master profesional en ingeniería informática de la Universidad de Granada.

Imbalanced data Analysis in R combining different technyques.

Which client will subscribe to a term deposit? - Predictive Analytics on the imbalanced Bank Marketing data.

NCCU 110 資料科學 - 期末專案 - 信用卡風險預測( R 、決策數)

This is a simple Imbalanced dataset handling problem where I have used Census Data