model-selection

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

from sklearn.model_selection import StratifiedKFold, train_test_split, cross_validate
from sklearn.pipeline import Pipeline
from sklearn.impute import SimpleImputer
from sklearn.preprocessing import StandardScaler
from sklearn.linear_model import LogisticRegression

Train test split and stratified cross validation done properly

cross-validation evaluation scikit-learn

by Dr. Elena Vasquez 1 tab