Enroll Course: https://www.coursera.org/learn/feature-engineering-es
If you’re looking to enhance your machine learning skills and delve into the intricacies of feature engineering, the ‘Feature Engineering en Español’ course on Coursera is an excellent choice. This course offers a thorough exploration of how to improve model accuracy through effective attribute creation and transformation, especially within the context of Google Cloud’s Vertex AI Feature Store.
The course is well-structured, starting with an introduction to the fundamentals and advancing to specific tools and techniques. You will learn about handling raw data, identifying valuable attributes, and processing data using BigQuery ML, Keras, TensorFlow, and Dataflow. One of its highlights is the practical focus on real-world applications, such as using TensorFlow Transform for data normalization and feature engineering.
What sets this course apart is its emphasis on modern methodologies, like combining attributes for better model performance and understanding the differences between machine learning and statistical approaches. The labs and hands-on projects make complex concepts accessible and applicable.
Whether you’re a data scientist, machine learning engineer, or analytics professional, this course will significantly boost your capability to engineer features that make your models more accurate and robust. I highly recommend it for anyone interested in deepening their understanding of feature engineering in a cloud-based environment.
Enroll Course: https://www.coursera.org/learn/feature-engineering-es