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Q9 Single choice

You are working on a Neural Network-based project. The dataset provided to you has columns with different ranges. While preparing the data for model training, you discover that gradient optimization is having difficulty moving weights to a good solution.

What should you do?

A
Use feature construction to combine the strongest features.
B
Use the representation transformation (normalization) technique.
C
Improve the data cleaning step by removing features with missing values.
D
Change the partitioning step to reduce the dimension of the test set and have a larger training set.

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