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A Go implementation of four different algorithms (Exhaustive DFS, Greedy Hill Climbing, Simulated Annealing, Genetic Algorithm) to solve the N-Queens problem, with performance comparison.
This ML project predicts heart disease using logistic regression on the Cleveland Heart Disease UCI dataset, featuring advanced preprocessing and medical feature engineering, achieving 82.1% accura…