Linear Classifiers in Python

Engineering and Technology

Short Description

In this course you will learn the details of linear classifiers like logistic regression and SVM.

Long Description

This course provides a comprehensive understanding of linear classifiers, focusing on logistic regression and support vector machines, and their implementation using scikit-learn. Participants will gain practical knowledge in applying these methods and delve into the underlying concepts that drive their effectiveness. By the end of the course, learners will be proficient in training, testing, and optimizing linear classifiers in Python. Additionally, they will develop a solid conceptual framework that can be applied to comprehend various other machine learning algorithms.

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Course Details

Duration: 4 hours
Difficulty: Intermediate
Format: Short Course
Price: USD39.00
Course Link

DataCamp

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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