This repository contains a tutorial and practical implementation of Support Vector Machines (SVM), a powerful supervised machine learning algorithm used for classification and regression tasks.The ...

This web application predicts loan eligibility using a Support Vector Machine (SVM) classifier. It includes an exploratory data analysis (EDA) phase, data preprocessing, model training, and a ...

Machine à vecteurs de support (SVM) Les machines à vecteurs de support ou SVM (Séparateurs à vastes marges) sont des algorithmes qui séparent les données en classes. Pendant l’entraînement, un SVM ...

Machine Learning (ML) ... This chapter discusses basics of Python language for coding machine learning models. Python is a very powerful high-level programming language with the need for compiling, ..

Scikit-learn is a popular machine-learning Python library that is available for free. It gives access to various classification, regression, and clustering algorithms, including SVM, random forests, ...

SVM and kNN exemplify several important trade-offs in machine learning (ML). SVM is often less computationally demanding than kNN and is easier to interpret, but it can identify only a limited set ...

Python libraries that can interpret and explain machine learning models provide valuable insights into their predictions and ensure transparency in AI applications. A Python library is a ...