Preprocess: u'geoNetwork.networkDomain', u'geoNetwork.networkLocation', u'geoNetwork.region', u'geoNetwork.subContinent',

[wesleytian]

Preprocess the following features:

u'geoNetwork.networkDomain',
u'geoNetwork.networkLocation',
u'geoNetwork.region',
u'geoNetwork.subContinent',

1. Standardization: http://scikit-learn.org/stable/modules/preprocessing.html#standardization-or-mean-removal-and-variance-scaling

2. Impute missing values: http://scikit-learn.org/stable/modules/impute.html

3. Normalization: http://scikit-learn.org/stable/modules/preprocessing.html#normalization

4. Encode categorical features (optional): http://scikit-learn.org/stable/modules/preprocessing.html#encoding-categorical-features

5. Discretization (optional): http://scikit-learn.org/stable/modules/preprocessing.html#discretization

http://scikit-learn.org/stable/modules/preprocessing.html

[mengqiuteng]

If for a certain fullVisitorID, multiple records with different geoNetwork value is found, how should we deal with this? Do we just take the majority value?