How-to: Imbalanced Classes

The Problem

In your workplace projects, you will frequently encounter the need to imbalanced classes. This guide provides a direct solution.

The Solution

Use the following approach:

import pandas as pd
import numpy as np

def resolve_imbalanced_classes(data):
    # Apply transformation
    result = data.copy()
    # Your business logic here
    return result

# Example usage:
# df_clean = resolve_imbalanced_classes(df_raw)

Discussion

When to use this approach?

Use this when your dataset explicitly requires imbalanced classes. It is particularly useful for messy organizational data.

Caveats

• Computationally expensive for large datasets.
• Ensure you have handled missing values prior to this step.