Scaling features without touching sklearn 👀
df["age_scaled"] = (df["age"] - df["age"].mean()) / df["age"].std()
Why it is useful:
• Quick experiments
• Better intuition
• No pipeline overhead
Post #1129
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⚡️📊 One Line Feature Scaling
Scaling features without touching sklearn 👀
Why it is useful:
• Quick experiments
• Better intuition
• No pipeline overhead
Scaling features without touching sklearn 👀
Why it is useful:
• Quick experiments
• Better intuition
• No pipeline overhead
- ❤ 7