/Python/Scikit learn to identify highly correlated features

Scikit learn to identify highly correlated features

# Create correlation matrix
corr_matrix = df.corr().abs()

# Select upper triangle of correlation matrix
upper = corr_matrix.where(np.triu(np.ones(corr_matrix.shape), k=1).astype(np.bool))

# Find index of feature columns with correlation greater than 0.95
to_drop = [column for column in upper.columns if any(upper[column] > 0.95)]

Source: chrisalbon.com

How to print correlation to a feature in pyhton

df[df.columns[1:]].corr()['LoanAmount'][:]

Source: datascience.stackexchange.com

Similar codes

15 votes345 views6 answers
Flask install
Python Flask
0 vote219 views1 answer
How to make one list from nested list
Python
0 vote270 views1 answer
Corona data with python flask get pdf
Python Flask
0 vote259 views1 answer
Take substring of every element in dataframe
Python
6 votes195 views2 answers
Add python kernel to Jupyter
Python
0 vote209 views9 answers
Filter dataframe site:stackoverflow.com
Python
2 votes199 views2 answers
Should i make tkinter in classes ? , Best way to structure a tkinter application?
Python
13 votes189 views5 answers
Python get filename without extension
Python
7 votes211 views2 answers
Pandas number of observations
Python
1 vote193 views1 answer
Python ndim
Python