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• Data Profiling: Data profiling is the process of examining and analyzing data from various sources to collect statistics and information about the quality, completeness, and accuracy of the data. It involves the use of automated tools and techniques to ide ... Read More >>
• Variance: In statistics, variance is a measure of how spread out a set of data is. It is calculated as the average of the squared differences from the mean. In data science, variance is an important concept in machine learning and predictive modeling ... Read More >>
• Evaluation Metrics: Evaluation metrics are quantitative measures used to assess the performance of a machine learning model. These metrics are used to evaluate how well the model is performing in terms of accuracy, precision, recall, F1 score, and other releva ... Read More >>