Machine Learning with scikit-learn

Starting at USD 39.00
4 hours duration

Learn how to build and tune predictive models and evaluate how well they'll perform on unseen data.

Machine learning is a rapidly growing field that focuses on teaching machines and computers to learn from existing data in order to make accurate predictions on new data. This course offers a comprehensive introduction to supervised learning, a fundamental aspect of machine learning, using the Python programming language. Through this course, participants will gain the necessary skills to construct predictive models, optimize their parameters, and evaluate their performance on unseen data. Real-world datasets will be utilized throughout the course to provide practical experience. Participants will also have the opportunity to work with scikit-learn, a widely used and intuitive machine learning library for Python.

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.