graph outlier detection
#checking for outliers
numerical_features=[feature for feature in df.columns if df[feature].dtypes!='object']
for feature in numerical_features:
if feature=='class(target)':
pass
else:
df[feature].plot.box()
plt.xlabel(feature)
plt.show()
Here is what the above code is Doing:
1. We are creating a list of numerical features.
2. We are iterating through the list of numerical features.
3. We are plotting a boxplot for each feature.
4. We are labeling the x-axis with the name of the feature.
5. We are showing the plot.
