There are metrics like Inertia or Sum of Squared Errors (SSE), Silhouette Score, l1, and l2 scores. Out of all of these metrics, the Inertia or Sum…
Read moreA hypothesis is a term that is generally used in the Supervised machine learning domain. As we have independent features and target variables and w…
Read moreBy using the Elbow method we decide an optimal number of clusters that our clustering algorithm must try to form. The main principle behind this …
Read moreMachine Learning Interview Questions In general programming, we have the data and the logic by using these two we create the answers. But in machine…
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