- Data Modeling
- Data Pipelines
- Data Store
- Feature Engineering
- Data Preprocessing
- Machine Learning
- Keras (Neural Network Library)
- Data Processing
- Real Time Data
- MLOps (Machine Learning Operations)
- Tensorflow
- Data Storage
Feature Engineering
Completed by 동준 이
May 5, 2019
8 hours (approximately)
동준 이'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
