🚀 Identifying Skewed Features in Your Data with Python 📊🐍
When diving into data science or machine learning projects, understanding the distribution of your numerical features is crucial! One key aspect is skewness, which measures the asymmetry of your data distribution. 📉📈 Highly skewed data can impact model performance.
Positive Skewness: Right tail longer; values concentrated to the left.
Negative Skewness: Left tail longer; values concentrated to the right.
Zero Skewness: Symmetrical distribution; tails on both sides are approximately equal.
Check out the code snippet! to writing a "skewness function"
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