Tag: Hyperparameter Tuning

  • March 19, 2024 Logistic Regression with Jupyter Notebook #3 (Hyperparameter Tuning) Learn how to tunine hyperparameters for logistic regression in Jupyter Notebook with this guide, which covers key parameters like regularization strength, optimization algorithms, and iteration limits. Discover how to optimize your model's performance using GridSearchCV for cross-validation, ensuring the best settings for accurate predictions!