Enroll Course: https://www.coursera.org/learn/feature-engineering-br
If you’re looking to elevate your machine learning projects, the course ‘Feature Engineering em Português Brasileiro’ on Coursera is an exceptional resource. This course provides a comprehensive guide to the intricacies of feature engineering, from understanding attributes to transformations that significantly impact your model’s performance. What sets this course apart is its practical approach, teaching how to leverage tools like BigQuery ML, Keras, TensorFlow, and Dataflow for real-world data preprocessing and attribute creation.
The course begins with an overview of the importance of feature engineering, followed by an introduction to the Vertex AI Feature Store, which is crucial for managing features at scale. One of the most valuable modules covers transforming raw data into meaningful attributes, emphasizing the creation of high-quality features that improve model accuracy. The curriculum also explores advanced techniques such as attribute crossing and the use of TensorFlow Transform for complex preprocessing tasks.
Practical exercises using popular tools like Dataflow and TensorFlow ensure that participants can apply what they’ve learned immediately. The course is suited for data scientists and ML engineers aiming to deepen their understanding of feature engineering and optimize their models effectively.
Overall, I highly recommend this course for anyone serious about mastering feature engineering in the context of Google Cloud and machine learning. It combines theoretical insights with hands-on experience, making it an invaluable addition to your data science toolkit.
Enroll Course: https://www.coursera.org/learn/feature-engineering-br