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Finding the optimal number of clusters (k) using Elbow Method

he elbow method is a technique used to find the optimal number of clusters (k) in a dataset for a clustering algorithm, such as k-means. The idea is to run the clustering algorithm for different values of k and plot the sum of squared distances (inertia) between data points and their assigned cluster centroids. The…

CEO 105 views

Standardizing features by StandardScaler

n scikit-learn (sklearn), the StandardScaler is a preprocessing technique used to standardize features by removing the mean and scaling them to have a unit variance. Standardization is a common step in many machine learning algorithms, especially those that involve distance-based calculations or optimization processes, as it helps ensure that all features contribute equally to the…