Multi-class Classification

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• Jaccard Similarity: Jaccard Similarity is a measure of similarity between two sets of data. It is defined as the size of the intersection divided by the size of the union of the sets. In other words, it measures the proportion of shared data points between two ... Read More >>
• Histograms: Histograms are graphical representations of the distribution of a dataset. In data science, histograms are used to visualize the frequency distribution of a continuous variable. The x-axis represents the range of values for the variable, di ... Read More >>
• Clusters: In data science, clusters refer to groups of data points that share similar characteristics or patterns. Clustering is a technique used in unsupervised learning to identify these groups and assign data points to them based on their similari ... Read More >>