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Articles tagged with #data-science
What is SVM? Support Vector Machine is a supervised machine learning algorithm. It is mostly used for classification problems. The objective of SVM algorithm is to find a hyperplane (more about it later in the article) that will distinctly classify t...
Problem with Decision Tree Decision Trees are highly sensitive to training dataset. A small change in the training dataset might completely change the decision tree. So, a decision tree will work extremely well on training dataset but perform poorly ...
Introduction Decision Tree is a binary tree like data structure which recursively splits the dataset until we are left with pure leaf nodes. The internal nodes represent the conditions and the leaf nodes represent the decision based on the conditions...
Introduction Logistic Regression is a classification model where the output is discrete values like predicting whether a mail is spam or not, handwritten digit classifier, etc. Problem with Linear Regression as a classification model Suppose we have ...
