- Data Storage
- Tensorflow
- MLOps (Machine Learning Operations)
- Data Modeling
- Data Pipelines
- Real Time Data
- Data Processing
- Keras (Neural Network Library)
- Feature Engineering
- Data Transformation
- Machine Learning
Feature Engineering
Completed by Chimène KOUOMOGNE KANTCHOUET
November 6, 2024
8 hours (approximately)
Chimène KOUOMOGNE KANTCHOUET'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
