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• Equal Width Binning: Equal Width Binning is a data preprocessing technique used in data analysis to transform continuous numerical variables into categorical variables. It involves dividing a continuous variable into a pre-defined number of equal width bins or ... Read More >>
• Feature Engineering: Feature engineering is the process of selecting and transforming variables (features) in a dataset to improve the performance of machine learning models. It involves identifying the most relevant features for a given problem, creating new f ... Read More >>
• Simulated Annealing: Simulated Annealing is a metaheuristic optimization algorithm that is used to find the global optimum in a large search space. It is inspired by the annealing process in metallurgy, where a metal is heated and then slowly cooled to reach a ... Read More >>