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• Hypotheses: In data science, hypotheses refer to proposed explanations or predictions about a phenomenon or relationship between variables. Hypotheses are formulated based on available data and prior knowledge, and are tested using statistical methods ... Read More >>
• Neural Network Training: Neural network training is the process of adjusting the weights and biases of a neural network to minimize the difference between the predicted output and the actual output. This is done by feeding the network with a large amount of labeled ... Read More >>
• Clusters: In data science, clusters refer to groups of data points that share similar characteristics or patterns. Clustering is a technique used in unsupervised learning to identify these groups and assign data points to them based on their similari ... Read More >>