A Spanish news classification project using NLP, TF-IDF features, and machine learning models (Naive Bayes, Logistic Regression, Linear SVM) in python ...

In this project, We build a Support Vector Machines classifier to classify a Pulsar star. We have used the Predicting a Pulsar Star dataset for this project. We have downloaded this dataset from the ...

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

Arid and semiarid regions face challenges such as bushland encroachment and agricultural expansion, especially in Tiaty, Baringo, Kenya. These issues create mixed opportunities for pastoral and ...

Department of Pediatrics, Tsugaruhoken Medical COOP Kensei Hospital, Hirosaki, Japan We constructed an optimal machine learning (ML) method for predicting intravenous immunoglobulin (IVIG) resistance ...

Abstract: Support Vector Machine (SVM) is one of the state-of-the-art tools for linear and nonlinear pattern classification. One of the design issues in SVM classifier is reducing the number of ...