Scientific Research Publishing

A New Method to Predict the Mechanical Behavior for a Family of Composite Materials ()

Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...
Scientific Research Publishing

An Accessible Predictive Model for Alzheimer’s Disease Based on Cognitive and Neuropathological Integration ()

Li, Y. and Liu, J. (2025) An Accessible Predictive Model for Alzheimer’s Disease Based on Cognitive and Neuropathological ...

Cai Cai's Machine Learning Sklearn Class: Understandable from Scratch, from Model Invocation to Practical Implementation

The design of sklearn follows the "Swiss Army Knife" principle, integrating six core modules: Data Preprocessing: Similar to ...
Analytics Insight

Top Regression Techniques Every Data Scientist Should Learn

Overview Regression explains how changes in one factor influence another with clarity.Each regression type is suited for ...
IEEE

A multidimensional indicator prediction assessment method based on time series and multiple linear regression model

Abstract: This paper focuses on a multidimensional indicator prediction assessment method based on time series and multiple linear regression modelling. Through in-depth analysis of relevant data, ...
Devdiscourse

AI outperforms traditional models in bankruptcy forecasting

Bankruptcy prediction has traditionally relied on statistical approaches such as Altman’s Z-score, which use financial ratios ...
CBSSports.com

Fantasy football rankings 2025: Breakouts, sleepers, busts from model which nailed C.J. Stroud's tough season

History has proven that elite quarterbacks can make or break your fantasy football championship run. One big-name quarterback drawing mixed fantasy football reviews once again is Patrick Mahomes of ...
IEEE

On the Effectiveness of Feature Selection Techniques in the Context of ML-Based Regression Test Prioritization

Abstract: Regression testing is essential for maintaining software functionality in continuous integration (CI) systems, but it can become increasingly costly as software complexity grows. Machine ...
GitHub

An interpretable machine learning framework for designing high-strength high-entropy alloys using feature selection, generative models, and ensemble learning.

There was an error while loading. Please reload this page. Data_preprocessing_and_feature_selction.py contains Python code focused on preprocessing data and selecting ...