Tag: dimensionality

Machine Learning for Customer Segmentation and Targeting

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In today’s highly competitive business environment, customer segmentation and targeting have become increasingly important. For those unfamiliar, customer segmentation is the process of dividing a customer base into smaller groups based on shared characteristics, such as demographics, behavior patterns, and purchasing habits. Traditional methods of customer segmentation often involve manual labor and can be time-consuming…

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Artificial Intelligence

K-Nearest Neighbors: Instance-based Learning and Classification

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K-Nearest Neighbors, also known as KNN, is a popular instance-based learning algorithm that is commonly used for classification and regression tasks. It is considered a non-parametric lazy learning algorithm because it does not make assumptions about the underlying data distribution and it does not learn a model from the training data. The basic idea behind…

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Artificial Intelligence

Feature Selection and Feature Engineering Techniques

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When it comes to data analysis, selecting the right features is essential for achieving accurate and reliable results. Feature selection refers to the process of identifying the most relevant features in a dataset to improve model performance. On the other hand, feature engineering involves creating new features from existing data to improve model accuracy and…

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Artificial Intelligence