Before making claims about the accuracy of a particular trained model or any hypothesis, it is crucial to conduct statistical significance tests. This ensures that the claimed accuracy is reliable and not just a result of chance. It is essential not only in the context of machine learning or deep learning models but also in various other experiments.
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When multiple people works on a single project then code management becomes an important step. And there comes Version Control System (VCS) into picture. Version control ensures that at any point of time we can revert back to a particular state of the repository.