课程: Machine Learning with Python: Foundations

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Next steps with applied machine learning

Next steps with applied machine learning - Python教程

课程: Machine Learning with Python: Foundations

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Next steps with applied machine learning

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- [Instructor] Congrats. You now know what it means for machines to learn and the different ways in which machines learn. You've learned how to collect data, explore data, and prepare data for machine learning, both conceptually and using Python. You also now know how to build, evaluate, and interpret the results of a machine learning model using Python. The foundational knowledge and skills you've acquired in this course should serve as a stepping stone to continue learning and exploring how to solve more complex problems. Here are a few recommended next steps. In this course, we wrap things up by building a simple linear regression model. This is one of many models we can build in Python. I encourage you to explore my other LinkedIn learning courses in the machine learning with Python series. Next up in the series is machine learning with Python, decision trees, where we explore the supervised machine learning approach, known as a decision tree, and learn how to build both a…

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