Support Vector Machine

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Difference between Logistic Regression and Support Vector Machine SVM

Both Logistic Regression and Support Vector Machine or SVM can be used for classification however there is some fundamental difference between them. Lets understand those differences when we are using Support Vector Machine as a classifier. Logistic Regression gives probabilities as output that can be interpreted as confidence in the classification decision however Support Vector … Continue reading Difference between Logistic Regression and Support Vector Machine SVM

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Top 5 Advantages and Disadvantages of Support Vector Machine Algorithm

Support vector machines or SVM is a supervised machine learning algorithm that can be used for both classification and regression analysis. Advantages of Support Vector algorithm Support vector machine is very effective even with high dimensional data.When you have a data set where number of features is more than the number of rows of data, … Continue reading Top 5 Advantages and Disadvantages of Support Vector Machine Algorithm