/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

0 vote174 views1 answer
\u00a0
Python
20 votes178 views4 answers
Python open web browser
Python
3 votes206 views3 answers
Flask migrate install
Python Flask
10 votes164 views4 answers
Numpy empty array
Python
0 vote224 views1 answer
Django strptime
Python Django
-2 votes178 views1 answer
Python for-while
Python
0 vote168 views1 answer
Print type on each cell in column pandas
Python
0 vote162 views1 answer
Install python 3.6 dockerfile
Python
0 vote184 views1 answer
Equivalent of setInterval python
Python
0 vote165 views1 answer
Python - How To Check if a String Is a Palindrome
Python