Using a text classification ... support vector machines, random forests/decision trees, and deep learning models such as LSTM and BERT that also perform well on text classification tasks.

In an effort to equip aspiring technologists and researchers with cutting-edge skills, Jamia Millia Islamia (JMI) has ...

Artificial intelligence (AI) has become part of the daily lexicon, and an endless stream of media reports assert that AI either has affected or will affect most aspects of human life. What is AI and ...

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Abstract: This study uses the San Francisco dataset and applies the Novel Random Forest Classifier with K-Fold Cross Validation to improve the accuracy of crime prediction. The outcomes derived from ...

using a heart disease dataset. This project demonstrates classification, model visualization, overfitting analysis, feature importance, and cross-validation evaluation.

In this paper, we study the airborne hyperspectral image classification methods using the airborne hyperspectral image ... the redundant bands and the noise bands. And then the random forest decision ...

The artificial intelligence (AI) market is expanding. Statista has calculated that the number of AI tool users will increase ...