Satellite image classification using multiple machine learning algorithms
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Updated
Mar 12, 2021 - Python
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 R
Various Classification models used are Logistic regression, K-NN, Support Vector Machine, Kernel SVM, Naive Bayes, Decision Tree Classification, Random Forest Classification using Python
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
supervised machine learning classifier model
Hard SVM, Soft SVM, Kernel SVM
Cross-validation, knn classif, knn régression, svm à noyau, Ridge à noyau
Implementation of some Machine Learning Algorithms in Python
Iris flower classification with kernel svm.
ML analysis and model construction based on kinopoisk.ru animation movies reviews
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