Data Archiving

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• Continuous Improvement: Continuous Improvement is an ongoing effort to improve processes, products, or services. It involves constantly evaluating and analyzing data to identify areas for improvement and implementing changes to achieve better results. In Data Scie ... Read More >>
• K-fold: K-fold is a cross-validation technique used in machine learning to evaluate the performance of a model. It involves dividing the dataset into K equal subsets or folds, where K-1 folds are used for training the model and the remaining fold i ... Read More >>
• Predictive Model: A predictive model is a statistical or machine learning algorithm that is trained on historical data to make predictions about future events or behaviors. The model uses input variables, also known as features, to generate an output variabl ... Read More >>