- Data Pipelines
- Data Processing
- Real Time Data
- Machine Learning
- Tensorflow
- Data Store
- Data Preprocessing
- Data Transformation
- Data Storage
- MLOps (Machine Learning Operations)
- Feature Engineering
- Keras (Neural Network Library)
Feature Engineering
Completed by Hetav Kirit Pandya
June 29, 2020
8 hours (approximately)
Hetav Kirit Pandya'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
