Delve into the world of feature engineering with the "Feature Engineering en Français" course by Google Cloud. This comprehensive course covers topics such as leveraging Vertex AI Feature Store, transforming raw data into valuable features, and utilizing tools like Apache Beam, Cloud Dataflow, and tf.Transform for preprocessing. Throughout the course, you will gain insights into optimizing feature usage in machine learning models.
Explore the modules covering the presentation of Vertex AI Feature Store, extracting and processing features, and utilizing advanced techniques in TensorFlow and Keras. Through a mix of theoretical learning, practical workshops, and quizzes, you will gain a deep understanding of feature engineering techniques and their application in real-world scenarios.
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Master feature engineering with in-depth modules covering Vertex AI Feature Store, feature extraction, preprocessing, and advanced techniques in TensorFlow and Keras.
Module 1: Présentation
Get a brief overview of the course and what to expect from each module.
Module 2: Présentation de Vertex AI Feature Store
Module 3: Des données brutes aux caractéristiques
Module 4: Extraction de caractéristiques
Module 5: Prétraiter et créer des caractéristiques
Module 6: Croisements de caractéristiques – TensorFlow Playground
Module 7: Présentation de TensorFlow Transform
Module 8: Résumé
Conclude the course with a summary of the key learnings and takeaways.
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