- Machine Learning
- Data Processing
- Tensorflow
- Data Modeling
- Data Storage
- Data Pipelines
- Data Transformation
- Real Time Data
- MLOps (Machine Learning Operations)
- Keras (Neural Network Library)
- Feature Engineering
Feature Engineering
Completed by Nicola SPIESER
September 21, 2020
8 hours (approximately)
Nicola SPIESER'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
