Filtering

Filtering is the process of selecting a subset of data from a larger dataset based on specific criteria. In data science, filtering is commonly used to remove noise, outliers, or irrelevant data from a dataset to improve the accuracy of analysis. Filtering can be done using various techniques such as thresholding, smoothing, or clustering. Thresholding involves setting a threshold value and removing all data points below or above that value. Smoothing involves removing noise from a dataset by averaging nearby data points. Clustering involves grouping similar data points together and removing outliers. Filtering is an important step in data preprocessing and is used in various applications such as image processing, signal processing, and natural language processing.
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