Python

Search

feature scaling in python

from sklearn.preprocessing import MinMaxScaler
scaler = MinMaxScaler()
from sklearn.linear_model import Ridge
X_train, X_test, y_train, y_test = train_test_split(X_data, y_data,
                                                   random_state = 0)

X_train_scaled = scaler.fit_transform(X_train)
X_test_scaled = scaler.transform(X_test)

Comment

PREVIOUS	NEXT

Code Example
Python :: changing the current working directory in python
Python :: python compute SSIM
Python :: python get first n elements of dict
Python :: python socket check if still connected
Python :: delete directory if exists python
Python :: anagram program in python
Python :: python turn off printing
Python :: django orm count
Python :: how to catch ctrl c in python
Python :: python sort two key
Python :: create and populate dictionary python
Python :: pd df drop columns
Python :: concatenate dataframes pandas without duplicates
Python :: To View the entire Row and Column in a Dataframe
Python :: python delete key from dictionary
Python :: change color of butto in thkinter
Python :: Plot regression line from sklearn
Python :: permutation with repetition python
Python :: django get group users
Python :: python cheat sheet
Python :: pandas dataframe read string as date
Python :: set index in datarame
Python :: append item to array python
Python :: scipy euclidean distance
Python :: custom save django
Python :: pandas merge on index column
Python :: python talib install windows
Python :: how to get index of closest value in list python
Python :: tkinter margin
Python :: tkinter template

Search

PYTHON

feature scaling in python

ADD CONTENT