How can I tune my machine learning model in Python?
An example of an AI chatbot conversation about tuning machine learning models in Python.
How can I tune my machine learning model in Python?
Tuning a machine learning model involves adjusting hyperparameters to improve performance. Are you using a specific library?
Yes, I'm using scikit-learn. What parameters should I focus on?
In scikit-learn, you can tune parameters like 'n_estimators' for Random Forests or 'C' and 'gamma' for SVMs. Do you have a specific model in mind?
I'm working with a Random Forest model. How do I find the best values for these parameters?
You can use GridSearchCV or RandomizedSearchCV to systematically explore combinations of parameters. Would you like a code example?
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