Cluster Analysis in Python

Starting at USD 39.00
4 hours duration

In this course, you will be introduced to unsupervised learning through techniques such as hierarchical and k-means clustering using the SciPy library.

Google News is a well-known platform that organizes news articles into groups based on their similarity. However, have you ever been curious about the underlying process that enables this grouping? If so, this course is for you. In this course, we will introduce you to the concept of unsupervised learning, specifically focusing on clustering techniques. Using the powerful SciPy library in Python, you will learn how to preprocess data and apply hierarchical and k-means clustering algorithms. Throughout the course, we will utilize player statistics from FIFA 18, a popular football video game, to demonstrate the practical application of these clustering techniques. By the end of the course, you will have the skills to efficiently apply various clustering algorithms to your own data, effectively visualize the clusters formed, and analyze the results.

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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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