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