Certain preprocessing techniques were used to improve accuracy and outcomes. Ultimately, we employed decision trees, logistic regression, and random forests to reach our objective. Of these, random ...

TST use global_random_seed in sklearn/decomposition/tests/test_kernel_pca.py module:decomposition No Changelog Needed Quick Review For PRs that are quick to review ...

This project predicts taxi fares using machine learning, analyzing features like day, time, weather, and traffic. It utilizes Random Forest Regression to capture complex relationships and provide ...