K-Fold cross validation clearly explained in python | jupyter notebook
Step by step explaination of cross validation using random forest algorithm #crossvalidation #machinelearning
Hyperparameter tuning using GridSearchCV video link -
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Пікірлер: 4
Well illustrated. Thanks
Can you explain why you use n_estimators = 300 and random_state = 0, instead of the default n_estimators = 100 and random_state = 42?
sir isme model fitting khan ho rhi hai
cv=10 then value error is showing