LinkedIn

How can SMOTE improve data cleaning for imbalanced data?

If you work with machine learning, you may encounter data sets that are imbalanced, meaning that one class has much more samples than another. This can cause problems for your models, such as bias, ...
GitHub

Credit Card Fraud Detection using Python, featuring data cleaning, feature engineering, SMOTE balancing, and ML model evaluation.

There was an error while loading. Please reload this page. Credit Card Fraud Detection using Python, featuring data cleaning, feature engineering, SMOTE balancing ...
GitHub

Applying Logistic Regression and SMOTE for Analyzing and Predicting Customer Churn in Advertising with Imbalanced Data

This project explores the issue of customer churn in the advertising industry, particularly focusing on the challenges of dealing with imbalanced data. The analysis includes Logistic Regression as the ...
LinkedIn

Saqib Ejaz’s Post

Why Python over Any other Language in Machine Learning for Me? Well, It has been more than 2 years since I started working with python. I was so amazed by the power this language possesses. Jumping ...
Scientific Research Publishing

Jason, B. (2021) Smote for Imbalanced Classification with Python.

ABSTRACT: In this study, a hybrid machine learning (HML)-based approach, incorporating Genetic data analysis (GDA), is proposed to accurately identify the presence of adenomatous colorectal polyps ...