/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 vote275 views1 answer
Pytest local modules
Python
8 votes278 views3 answers
Max value pandas
Python
0 vote279 views1 answer
Pandas order dataframe by index of other dataframe
Python
0 vote248 views1 answer
Get length of a tuple in python
Python
4 votes263 views1 answer
Numpy mean 2 arrays
Python
0 vote273 views1 answer
Python how to make integer show 2 numbers
Python
15 votes262 views1 answer
Importing file from another folder python
Python
1 vote283 views1 answer
Train,test,dev python
Python
0 vote258 views1 answer
If keyboard.is_pressed
Python
1 vote259 views2 answers
How to change font in tkinter
Python