使用 Gemini：資料科學家 Reviews

Shawn G. · Reviewed over 1 year ago

建霖 曾. · Reviewed over 1 year ago

pei huang h. · Reviewed over 1 year ago

Nice and Done

Bayu Rahmat K. · Reviewed over 1 year ago

Yn S. · Reviewed over 1 year ago

susanna j. · Reviewed over 1 year ago

Yi-Ping H. · Reviewed over 1 year ago

Rv J. · Reviewed over 1 year ago

Wang C. · Reviewed over 1 year ago

Ding-Chi W. · Reviewed over 1 year ago

good

R. A. · Reviewed over 1 year ago

INING K. · Reviewed over 1 year ago

Roger C. · Reviewed over 1 year ago

Partheeban M. · Reviewed over 1 year ago

Sudeep B. · Reviewed over 1 year ago

Pujitha P. · Reviewed over 1 year ago

ARAKARI B. · Reviewed over 1 year ago

ZAHEER K. · Reviewed over 1 year ago

I fin

Sonic H. · Reviewed over 1 year ago

周柏祐 周. · Reviewed over 1 year ago

Adhithya M. · Reviewed over 1 year ago

EEMANI M. · Reviewed over 1 year ago

Yu Ching C. · Reviewed over 1 year ago

Get stuck during the following command below --- import matplotlib.pyplot as plt # Create the scatter plot plt.figure(figsize=(10, 6)) # Adjust figure size as needed plt.scatter(predictions_df['days_since_last_order'], predictions_df['average_spend'], c=predictions_df['CENTROID_ID'], cmap='viridis') # Customize the plot plt.title('Attribute grouped by K-means cluster') plt.xlabel('Days Since Last Order') plt.ylabel('Average Spend') plt.colorbar(label='Cluster ID') # Display the plot plt.show()

Ash C. · Reviewed over 1 year ago

steven s. · Reviewed over 1 year ago