Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I ...

Abstract: Programming language source code vulnerability mining is crucial to improving the security of software systems, but current research is mostly focused on the C language field, with little ...

Effective text preprocessing not only improves model accuracy ... of using Python NLP for text classification. These models, such as Naive Bayes, support vector machines (SVM), random forests ...

This project involves the classification of handwritten ... a lower-dimensional subspace. The LDA model is trained on the training data, and the training and test data are transformed into the LDA ...

Among the various supervised learning algorithms, SVM is one such algorithm that is very robust and helps in yielding higher model accuracies ... best suited for classification problems. Are you ...

In this paper, using SVM classifier, I build a Multi-label text classification model for Arabic text ... dataset generated the best results with 82.2% accuracy. The model was build using Python.

Using Python in Visual Studio Code for machine learning model training and experimentation is easier in the February 2021 update to the tool that fosters Python programming in Microsoft's popular, ...