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Nirmit Chetwani
Nirmit Chetwani

Nirmit Chetwani

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Highlighted by Nirmit Chetwani

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From Standardize or Normalize? — Examples in Python by Robert R.F. DeFilippi

# Fit your data on the scaler object
scaled_df = scaler.fit_transform(df)
scaled_df = pd.DataFrame(scaled_df, columns=names)

From Improving the Random Forest in Python Part 1 by Will Koehrsen

# Calculate and display accuracy
accuracy = 100 - np.mean(mape)
print('Accuracy:', round(accuracy, 2), '%.')

From L1 and L2 Regularization Methods by Anuja Nagpal

Ridge regression adds “squared magnitude” of coefficient as penalty term to the loss function. Here the highlighted part represents L2 regularization element.

Claps from Nirmit Chetwani

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Understanding Product Management through the Life Cycle of a Product

Trushna Khivasara

Power of Asking the Right Questions: In Product Management, Career, and Life

Trushna Khivasara

Take Charge and Steer

Trushna Khivasara