Data cleansing

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Data cleansing includes various methods for removing and correcting data errors in databases or other information systems. For example, the errors may consist of incorrect (originally incorrect or outdated), redundant, inconsistent, or incorrectly formatted data. Key steps for data cleansing are duplicate detection (detecting and merging the same data sets) and data fusion (merging and …

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Exploratory Data Analysis transforms MachineLearning projects. EDA is necessary for accurate forecasts and smart judgments, from data patterns and trends to data cleansing, feature selection, and model selection. Learn your data's secrets and succeed with AI initiatives. Learn the value of EDA today and acquire an edge! Learn from : https://www.aionlinecourse.com/.../exploratory-data-analysis #DataScience #AI #MachineLearning #BigData #DataAnalysis

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