- Tensorflow
- Keras (Neural Network Library)
- Data Storage
- Data Pipelines
- Machine Learning
- Data Store
- Real Time Data
- Feature Engineering
- Data Processing
- Data Modeling
- Data Transformation
- MLOps (Machine Learning Operations)
Feature Engineering
Completed by PIYAWASIN PIKROR-NGARN
December 26, 2024
8 hours (approximately)
PIYAWASIN PIKROR-NGARN's account is verified. Coursera certifies their successful completion of Feature Engineering
What you will learn
Describe Vertex AI Feature Store and compare the key required aspects of a good feature.
Perform feature engineering using BigQuery ML, Keras, and TensorFlow.
Discuss how to preprocess and explore features with Dataflow and Dataprep.
Use tf.Transform.
Skills you will gain

