Learn how to use box plots to identify and handle outliers in risk data. Box plots show the median, quartiles, range, and outliers of a data set. Agree & Join LinkedIn ...

Demonstrate how to programmatically identify and remove outliers in Python using Pandas and NumPy. ... Provides fundamental plotting functionalities used by ... excluding the extreme outlier's ...

Using `df.describe()` and a box plot, identify these outliers. If errors, remove with `df = df[df['price'] < threshold]`. These practices, including the IQR method, ensure accurate analysis.

Chennai House Price Prediction using machine learning with linear regression in Python. Performed EDA to identify outliers using Isolation Forest, and predicted house prices. Integrated Python script ...