kernel-svm-classifier

Satellite image classification using multiple machine learning algorithms

Various Classification models used are Logistic regression, K-NN, Support Vector Machine, Kernel SVM, Naive Bayes, Decision Tree Classification, Random Forest Classification using Python

Various Classification models used are Logistic regression, K-NN, Support Vector Machine, Kernel SVM, Naive Bayes, Decision Tree Classification, Random Forest Classification using R

Kaggle Machine Learning Competition Project : To classify activities into one of the six activities performed by individuals by reading the inertial sensors data collected using Smartphone.

Numpy based implementation of kernel based SVM

in this repository i am going to perform kernel SVM Classifcation on the real life dataset , initially i performed some data preprocessing technique in order to filter out the data flaws then undergoes the process of model building i.e Kernel SVM Classification.

Pattern Recognition - ECE - TTU - Spring 2021

Implementation of some Machine Learning Algorithms in Python

supervised machine learning classifier model

Cross-validation, knn classif, knn régression, svm à noyau, Ridge à noyau

Hard SVM, Soft SVM, Kernel SVM

Predicting loan approval status using Support Vector Machines. This project explores the rationale for Kernel SVM in finance, showcasing a complete machine learning pipeline: preprocessing, StandardScaler feature scaling, and a comparative analysis between Linear and RBF kernels to solve complex, non-linear classification boundaries .

ML analysis and model construction based on kinopoisk.ru animation movies reviews