Abstract: This study proposes a lithium-ion battery Remaining Useful Life (RUL) prediction method based on treebased feature selection and XGBoost regression. The proposed approach first employs ...

ABSTRACT: This paper proposes a hybrid machine learning framework for early diabetes prediction tailored to Sierra Leone, where locally representative datasets are scarce. The framework integrates ...

This paper proposes a hybrid machine learning framework for early diabetes prediction tailored to Sierra Leone, where locally representative datasets are scarce. The framework integrates Random Forest ...

Python Physics: Create a Linear Regression Function using VPython! 🐍📈 In this video, we’ll guide you through creating a simple linear regression function to analyze data, visualizing the results ...

Adopting Artificial Intelligence (AI) models for financial applications presents significant challenges, as this domain demands high social and ethical standards. In such contexts, besides model ...

Implement Logistic Regression in Python from Scratch ! In this video, we will implement Logistic Regression in Python from Scratch. We will not use any build in models, but we will understand the code ...

Hi, this is a really simple yet brilliant method. Thanks for this. Small request -- the version I got from pypi doesn't have def variable_importance(...) Would you please update when you get a chance?