Introduction to TensorFlow Data Validation Reviews

Yash D. · Reviewed 7 ay ago

Yuri V. · Reviewed 7 ay ago

Praful D. · Reviewed 7 ay ago

bharat a. · Reviewed 7 ay ago

vinay s. · Reviewed 7 ay ago

Wayne L. · Reviewed 7 ay ago

Fandio N. · Reviewed 7 ay ago

K Sai Sidhartha R. · Reviewed 7 ay ago

Sarthak K. · Reviewed 7 ay ago

Thank you for providing the lab. All is good, except that the notebook won't run due to possibly version issues. A required module is not found and I don't know how to get around the issue. To compensate the demo experience I watched a youtube video demonstrating the lab and read a medium article on the utility of the tf data validation functionality. # error snippet from running tfdv_basic_spending.ipynb(or tfdv_basic_spending_old.ipynb) --------------------------------------------------------------------------- ModuleNotFoundError Traceback (most recent call last) Cell In[3], line 2 1 import pandas as pd ----> 2 import tensorflow_data_validation as tfdv .... File ~/.local/lib/python3.10/site-packages/apache_beam/coders/coder_impl.py:1, in init apache_beam.coders.coder_impl() ModuleNotFoundError: No module named 'apache_beam.utils' .... I think I understood the main point of the lesson. Using tfdv to check for anomalies in my data is useful. The functionality provides visualizations and summaries about class imbalances, missing values, and anomalies. I'll try to put it into practice. Thanks for the info. Have a wonderful day~

웅비 최. · Reviewed 7 ay ago

Keiven T. · Reviewed 7 ay ago

good

Sree Sai Vaishnavi M. · Reviewed 7 ay ago

too slow to load my instance!!!!

Nicholas A. · Reviewed 7 ay ago

Laurent J. · Reviewed 7 ay ago

Gopi V. · Reviewed 7 ay ago

Kamil W. · Reviewed 7 ay ago

Andreea-Ionela T. · Reviewed 7 ay ago

國華 熊. · Reviewed 7 ay ago

Success

Luis Alberto M. · Reviewed 7 ay ago

Srikanth D. · Reviewed 7 ay ago

AJITESH B. · Reviewed 7 ay ago

Shiva N. · Reviewed 7 ay ago

Kathirvel G. · Reviewed 7 ay ago

Shivam S. · Reviewed 7 ay ago

good to have bits of code. Sadly not enough

Marianne D. · Reviewed 7 ay ago