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scikit-learn (sklearn.preprocessing (text data (LabelEncoder…
scikit-learn
sklearn.preprocessing
text data
OneHotEncoder
LabelEncoder
LabelBinarizer
numerical data
Imputer(strategy="")
build-your-own
class A(BaseEstimator, TransformerMixin)
fit()
transform()
get_params() and set_params() for hyperparameters
feature scaling
MinMaxScaler
StandardScaler
Pipeline
FeatureUnion
exposes interface of last thing in Pipeline
validation
cross validation
cross_val_predict
cross_val_score
metrics
precision
recall
f1 score
probabilistic models
hierarchical models - hyperparameters
groups - effect size
Cohen's d - (mean1-mean2)(0.5*(std1^2 + std2^2))
probability of superiority - normpdf((Cohen's d)/sqrt(2))
hyperparameters
sklearn.model_selection.GridSearchCV