Model Validation in Python

Starting at USD 39.00
4 hours duration

Learn the basics of model validation, validation techniques, and begin creating validated and high performing models.

Machine learning models have become increasingly accessible for implementation. However, it is crucial to validate these models to ensure accurate results when processing new data. Model validation enables analysts to confidently assess the effectiveness of their models. In this course, we will focus on classification models using the comprehensive tic-tac-toe endgame scenarios dataset, as well as regression models utilizing fivethirtyeight's ultimate Halloween candy power ranking dataset. Throughout the course, we will explore the fundamentals of model validation, explore different validation techniques, and equip participants with the necessary tools to develop validated and high-performing models.

About Provider

Online Education Provider ยท 410 courses
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.