From the course: Machine Learning with scikit-learn

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Build models with scikit-learn

Build models with scikit-learn - scikit-learn Tutorial

From the course: Machine Learning with scikit-learn

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Build models with scikit-learn

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Congratulations on completing this course! By this point, you've taken Scikit-learn from something abstract to something you can actually use. You've cleaned data, split it correctly, and built core models like linear and logistic regressions. You've explored decision trees and ensembles that strengthen predictions. You've uncovered patterns with tools like K-Means and PCA. And you've used pipelines to keep your workflow organized and consistent. Now it's time to bring this into your own world. Choose a dataset you care about, walk it through the same steps, and see what real questions you can answer with these tools. If you want to learn more about machine learning with Scikit-Learn, I recommend the text Machine Learning with PyTorch and Scikit-Learn by the author Sebastian Rojka. Another valuable resource for learning the theory behind many of the ML concepts in this course is the StatQuest YouTube channel by Josh Starmer. Both of these are perfect for advancing your knowledge and…

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