- Data Storage
- Keras (Neural Network Library)
- Data Pipelines
- Feature Engineering
- Data Transformation
- Real Time Data
- Machine Learning
- Data Modeling
- MLOps (Machine Learning Operations)
- Data Processing
- Tensorflow
Feature Engineering
Completed by Irven Cassio
April 14, 2024
8 hours (approximately)
Irven Cassio'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
