Remediation

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• Learning Objectives: Learning objectives are specific and measurable goals that define what a learner is expected to achieve after completing a learning activity. In the context of data science, learning objectives may include acquiring knowledge of statistical ... Read More >>
• Lossy Compression: Lossy compression is a data compression method that reduces the size of a file by permanently eliminating certain information that is deemed less important. This type of compression is commonly used in multimedia files such as images, audio ... Read More >>
• Naive Bayes Classifiers: Naive Bayes classifiers are a family of probabilistic algorithms used for classification tasks in machine learning and data science. They are based on Bayes' theorem, which describes the probability of an event based on prior knowledge of c ... Read More >>