Introduction to Feature Engineering in R

Starting at USD 39.00
4 hours duration

Learn a variety of feature engineering techniques to develop meaningful features that will uncover useful insights about your machine learning models.

Feature engineering is a crucial step in the machine learning process that enables the discovery of valuable insights from models. This iterative process involves the creation of new features using existing variables, thereby enhancing the efficiency of the model. In this course, participants will have the opportunity to delve into various datasets and gain hands-on experience in applying diverse feature engineering techniques to both continuous and discrete variables.

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DataCamp is an online learning platform that offers interactive courses and tutorials for data science and analytics. It provides a wide range of courses covering topics such as Python, R, SQL, machine learning, data visualization, and more. The platform offers a hands-on learning experience through coding exercises and projects, allowing users to practice and apply their skills in real-world scenarios. DataCamp also offers a personalized learning experience with adaptive learning technology that adjusts the course content based on the user's skill level and progress. It is widely used by individuals, professionals, and organizations to enhance their data science skills and stay up-to-date with the latest trends and technologies in the field.
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