- Feature Engineering
- Data Pipelines
- Data Storage
- Data Transformation
- Data Processing
- Keras (Neural Network Library)
- MLOps (Machine Learning Operations)
- Machine Learning
- Real Time Data
- Data Store
- Tensorflow
- Data Preprocessing
Feature Engineering
Completed by Dominic Kneup
August 6, 2023
8 hours (approximately)
Dominic Kneup'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
