codesnips

hyperparameter-tuning

python 
from sklearn.model_selection import GridSearchCV, RandomizedSearchCV
from sklearn.ensemble import RandomForestClassifier

grid_search = GridSearchCV(
    estimator=RandomForestClassifier(random_state=42, n_jobs=-1),
    param_grid={

Hyperparameter tuning with GridSearchCV and randomized search

hyperparameter-tuning gridsearch scikit-learn
by Dr. Elena Vasquez 1 tab
python 
import optuna
from sklearn.ensemble import HistGradientBoostingClassifier
from sklearn.model_selection import cross_val_score

def objective(trial):
    model = HistGradientBoostingClassifier(

Bayesian optimization with Optuna for efficient model tuning

optuna hyperparameter-tuning optimization
by Dr. Elena Vasquez 1 tab