Feature Engineering
Improve ML model accuracy with Vertex AI Feature Store. Learn how to effectively manage and utilize features for better AI performance.
Course Content
Feature Engineering is a beginner-level Pluralsight course taught by Google Cloud. It runs 2h 29m, is taught in English, and includes a certificate of completion. It is a paid course, first published July 2022.
Unlock the power of better machine learning models with our comprehensive Feature Engineering course! Learn how to dramatically improve your model accuracy by focusing on the right data. We'll guide you through identifying the most valuable data columns and transforming them into powerful features.
This course dives deep into the crucial concepts of good vs. bad features, covering essential feature preprocessing and transformation techniques for optimal model performance. You'll gain practical skills in preparing your data for machine learning.
Key topics include:
- Understanding Feature Engineering: Learn the fundamentals of creating effective features.
- Identifying Key Features: Discover methods for pinpointing the most impactful data columns.
- Feature Preprocessing: Master techniques to clean, scale, and transform your data.
- Feature Transformation: Explore methods to create new features from existing ones.
Hands-on Labs & Technologies:
Gain practical experience with real-world scenarios using:
- BigQuery ML: Leverage the power of BigQuery for scalable feature engineering.
- Keras: Build and train models with expertly engineered features.
- TensorFlow: Implement advanced feature engineering techniques with TensorFlow.
Deep Dive into Vertex AI Feature Store: We'll explore how to utilize Vertex AI Feature Store to streamline feature management and improve model consistency. Learn how to effectively manage and serve features at scale, leading to more reliable and accurate predictions.
Boost your machine learning skills and build more effective models. Enroll now and become a feature engineering expert!
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