Programming Paradigm

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• Modeling: Modeling is the process of creating a mathematical representation of a real-world system or phenomenon. In data science and artificial intelligence, modeling refers to the process of creating a predictive model using statistical and machine ... Read More >>
• Classification: Classification is a supervised learning technique in which an algorithm learns from labeled data to predict the class or category of new, unlabeled data. The goal of classification is to accurately assign new observations to previously defi ... Read More >>
• Validation Set: In machine learning, a validation set is a portion of the dataset used to evaluate the performance of a model during the training process. The validation set is used to tune the hyperparameters of the model and prevent overfitting. It is ty ... Read More >>