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MLP Week 2: Data Preprocessing - Coggle Diagram
MLP Week 2: Data Preprocessing
Feature Selection
Univariate Feature
Selection -
Feature selection
based on univariate
tests
SelectKBest
SelectPercentile
GenericUnivariateSelect
Variance Threshold
Wrapper-based
selection methods:
Use estimators instead
of scoring functions
Recursive Feature Elimination
SelectFromModel
SequentialFeatureSelector
Dimensionality Reduction (PCA)
Composite
Transformations -
Applying different transformers in parallel to different features and concatenating them
ColumnTransformer
Transformed Target Regressor
Combining Transformers
FeatureUnion
Pipeline
Feature Extraction -
Transforming raw data into an appropriate format
DictVectorizer
FeatureHasher
Dealing with Missing Values
SimpleImputer
KNNImputer
Transforming Data
Numeric
StandardScaler
MinMaxScaler
MaxAbsScaler
FunctionTransformer
PolynomialFeatures
KBinsDiscretizer
Categorical
OneHotEncoder
LabelBinarizer
LabelEncoder
MultiLabelBinarizer