课程: Machine Learning with Python: k-Means Clustering

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课程: Machine Learning with Python: k-Means Clustering

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- [Frederick] Congrats. You now know what k-means clustering is, how it works, and when to use it. You've learned how to create, visualize, evaluate, and interpret clusters in Python. The foundational knowledge and skills you've acquired in this course should serve as a stepping stone to continue learning about machine learning. Specifically, it should serve as a launchpad for solving more complex, unsupervised machine learning problems using k-means clustering. Here are a few recommended next steps. K-means clustering is one of many unsupervised machine learning approaches we can use in Python. I encourage you to continue to explore other LinkedIn Learning courses that introduce the use of other types of machine learning approaches. One such course is "Machine Learning with Python, Decision Trees." Besides courses that explore other approaches, I also encourage you to explore courses that highlight the importance…

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