The Las Vegas police union held a press conference Friday after a Clark County grand jury chose not to indict an officer who killed a homeowner who called 911 to report an intruder.

#DESCRIPTION: This project was developed as part of CodTech Internship Task-1, where I implemented a basic Decision Tree Classifier using Python. The objective was to understand how decision trees ...

Watch as a unique pipe is handcrafted from Madroño wood (strawberry tree) using simple, amateur tools. This video takes viewers through the entire process of making a pipe without the use of ...

MultiOmicsAgent (MOAgent) is an innovative, Python-based open-source tool for biomarker discovery, utilizing machine learning techniques, specifically extreme gradient-boosted decision trees, to ...

Experiment in floodplain forest: Using tree mortality to support oak regeneration Date: April 16, 2025 Source: Universität Leipzig Summary: The pedunculate oaks typical of Leipzig's floodplain ...

In contrast, the decision tree model performed significantly better, establishing clear decision boundaries and achieving high classification accuracy. The decision tree consistently selected Height ...

The decision tree algorithm classifies pills based on their shape and size features, facilitating precise dispensing at designated times. Our methodology involves training the decision tree classifier ...

Useful data was collected from Kaggle data archives, and several base models such as K-Nearest Neighbor, Random Forest, Logistic Regression, and Decision Tree classifier will be used. Their ...

This study aims to predict appendicitis in patients with periodontal disease using biochemical and clinical parameters through the application of a light gradient boost tree classifier. Methods: Data ...

Dental caries analysis. For analysis i used: k-means clustering, k-neighbors classifier, decision tree classifier. Libraries: scikit-learn.