Python

scaled_features = StandardScaler().fit_transform(df.values)
scaled_features_df = pd.DataFrame(scaled_features, index=df.index, columns=df.columns)

from sklearn.preprocessing import StandardScaler
scaler = StandardScaler()
X_train = scaler.fit_transform(X_train)

PREVIOUS	NEXT

Code Example
Python :: wait for element to be visible selenium python
Python :: python turtle sierpinski triangle
Python :: python check if list contains elements of another list
Python :: pandas plot disable legend
Python :: python flask replit
Python :: import all images from folder python
Python :: how to change font sizetkniter
Python :: _csv.Error: field larger than field limit (131072)
Python :: python filter in ailst
Python :: PySpark columns with null or missing values
Python :: built in functions python
Python :: how to subtract 2 lists in python
Python :: extract only year from date python
Python :: python remove empty folders
Python :: remove title bar in tkinter
Python :: maximizar ventana tkinter python
Python :: today date python
Python :: flash messages django
Python :: py current date
Python :: try datetime python
Python :: normalise list python
Python :: how to add row to the Dataframe in python
Python :: set seed python
Python :: iterative binary search python
Python :: python webbrowser
Python :: module turtle has no forward member
Python :: rvec tvec ros message
Python :: udmi2 roblox
Python :: add colour to text in python
Python :: how to loop through files in a directory python