LECTURE 2: DATA (PRE-)PROCESSING - IIT Roorkee
Data analysis pipeline Mining is not the only step in the analysis process Preprocessing: real data is noisy, incomplete and inconsistent. Data cleaning is required to make sense of the data Techniques: Sampling, Dimensionality Reduction, Feature Selection. Post-Processing: Make the data actionable and useful to the user : Statistical analysis of importance & Visualization.
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