| Summary: | "AA hands-on course to speed up the predicting power of machine learning algorithms About This Video Get expert knowledge on different future engineering techniques on different datasets Explore feature engineering techniques used in numerical datasets Uncover and execute feature extraction popular and useful techniques Build an ensemble model based on a feature engineered dataset In Detail Feature engineering is the most important aspect of machine learning. You know that every day you put off learning the process, you are hurting your model's performance. Studies repeatedly prove that feature engineering can be much more powerful than the choice of algorithms. Yet the field of feature engineering can seem overwhelming and confusing. This course offers you the single best solution. In this course, all of the recommendations have been extensively tested and proven on real-world problems. You'll find everything included: the recommendations, the code, the data sources, and the rationale. You'll get an over-the-shoulder, step-by-step approach for every situation, and each segment can stand alone, allowing you to jump immediately to the topics most important to you. By the end of the course, you'll have a clear, concise path to feature engineering and will enable you to get improved results by applying feature engineering techniques on your datasets Downloading the example code for this course: You can download the example code files for this course on GitHub at the following link: https://github.com/PacktPublishing/Hands-On-Feature-Engineering-with-Python . If you require support please email: customercare@packt.com
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