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• Weak Classifier: In machine learning, a weak classifier is a simple model that performs slightly better than random guessing. It is often used as a building block for more complex models in ensemble learning. Weak classifiers are trained on a subset of the ... Read More >>
• Binary Encoding: Binary encoding is a technique used in data science and artificial intelligence to represent categorical data as binary vectors. In this technique, each category is assigned a unique binary code, and each observation is represented as a vec ... Read More >>
• Data-driven Solutions: Data-driven solutions refer to the use of data to inform decision-making and solve problems. This approach involves collecting, analyzing, and interpreting large amounts of data to gain insights and make informed decisions. Data-driven solu ... Read More >>