F. Introduction to Classification และ KNN Algorithm

The Introduction to Classification and KNN Algorithm course focuses on foundational knowledge of classification and the use of the K-Nearest Neighbors (KNN) algorithm for those interested in data analysis and developing machine learning models. The content covers basic concepts of classification, including what classification is, its significance in research and data analysis, and an explanation of how KNN works, which is one of the most popular algorithms for classifying data.

In this course, learners will explore practical applications of KNN in solving real-world problems, including writing Python code for data classification. The course will also cover the distance metrics used in KNN and how to fine-tune various parameters to achieve optimal results.

Through exercises and sample projects, students will gain confidence in applying the knowledge they acquire to real data analysis and research tasks. By the end of the course, participants will be equipped to effectively use classification techniques and the KNN algorithm in their analytical work.

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