Cuack Prep -
$$ \lambda_i = \frac\sigma_i\mu_i + \epsilon \times \log(1 + N_outliers) $$
“Cuack Prep raised my SAT score by 210 points.” – Jamie, Grade 12 cuack prep
Standard normalization assumes a uniform distribution shape across features. Cuack Prep introduces a dynamic scaling vector $\lambda$ defined as: $$ \lambda_i = \frac\sigma_i\mu_i + \epsilon \times \log(1
If you meant as a duck-themed prep for something else (e.g., culinary, coding, or a meme), let me know and I’ll rewrite the content accordingly. or a meme)