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

Pattern Recognition - ECE - TTU - Spring 2021

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.

Hard SVM, Soft SVM, Kernel SVM

supervised machine learning classifier model

Iris flower classification with kernel svm.

Implementation of some Machine Learning Algorithms in Python

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

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