Supervised Training

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• Non-Parametric Test: Non-parametric tests are statistical methods used to analyze data that do not meet the assumptions of parametric tests, such as normality and homogeneity of variance. These tests are also known as distribution-free tests, as they do not req ... Read More >>
• Receiver: In Data Science, a receiver is a device or software that receives data from a transmitter or sender. The receiver is responsible for decoding the data and converting it into a usable format. In the context of machine learning, a receiver ca ... Read More >>
• Machine Learning Models: Machine learning models are algorithms that can learn from data and make predictions or decisions without being explicitly programmed. These models use statistical techniques to identify patterns in data and use those patterns to make predi ... Read More >>