GitHub

MNRFKR/Task-10-Python-EDA-Summary-Outlier-Detection

Step 1 I got a students dataset from Kaggle and imported it into Jupyter. Then I verified the data by checking .shape, .info(), and .head() to confirm rows, columns, and sample records. Step 2 I ...
IEEE

Handling Condition-Aware Noise and Outlier Disparities: A Transfer Learning Framework for Robust Cross-Domain Process Monitoring

Abstract: Industrial process monitoring is a critical component in ensuring production safety and quality. However, the disparity of noise and outlier will deteriorate performance of monitoring models ...
IEEE

Optimization of Outlier Handling in Datasets for Machine Maintenance Prediction Using Machine Learning with the Addition of New Variables

Abstract: Predictive maintenance plays a crucial role in minimizing unexpected machine failures and reducing operational costs. This study evaluates the impact of outlier handling through feature ...
Yardbarker

Paul Finebaum Blasts Dabo Swinney’s Handling of Ole Miss Tampering Allegations

Clemson Tigers head coach Dabo Swinney drew national attention on Friday, hurling public accusations of tampering at Ole Miss and new head coach Pete Golding, both of whom were involved in poaching ...
GitHub

Python Outlier Detection (PyOD)

PyOD is a comprehensive and scalable Python toolkit for detecting outlying objects in multivariate data. This exciting yet challenging field is commonly referred as Outlier Detection or Anomaly ...