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May 14, 2025 · 6 min read · Random Forest is one of machine learning algorithms that is an ensemble method combining \(T\) decision trees \(\{ h_t \}_{t=1}^{T}\) , where each tree is trained on: A bootstrap sample from the dataset (bagging), A random subset of features at eac...
Join discussionMay 13, 2025 · 6 min read · Support vector machine is a machine learning algorithm used for classification and regression. SVM uses hyperplane to separate data into groups maximizing the distances between the closest points (vectors) for each class (group). In machine learning,...
Join discussionMay 7, 2025 · 9 min read · Introduction to Linear Transformations A linear transformation is a mathematical concept used to map vectors from one space to another while preserving the operations of vector addition and scalar multiplication. It is defined as a function \(T\) tha...
Join discussionMay 6, 2025 · 3 min read · (SMOTE)As we have seen earlier, one of the methods for data balancing in ML is using naive random over-sampling by generating new samples in the underrepresented classes by randomly duplicating samples from the minority classes until all classes are ...
Join discussionMay 5, 2025 · 4 min read · Imbalanced classification refers to a scenario where the target classes do not have equal representation. For example, in medical diagnosis: Class 0 (Rare Disease): 50 samples Class 1 (Common Case): 5000 samples Why Does Data Imbalance Matter? B...
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