Understanding Applied Machine Learning 2019 Lecture 05 Preprocessing
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Key Takeaways about Applied Machine Learning 2019 Lecture 05 Preprocessing
- Dive into Deep
- Professor Jann Spiess presents an introduction to
- Logistic Regression, linear SVMs, the kernel trick One-vs-Rest and One-vs-One multi-class strategies. Class website with slides ...
- This video gives an overview of different
- Machine Learning
Detailed Analysis of Applied Machine Learning 2019 Lecture 05 Preprocessing
A quick introduction to Scikit-Learn Pipelines. Corresponding notebook: ... This course is an introduction to Decision trees for classification and regression, tree pre-pruning, bagging and ensembles, random forests, extremely randomized ...
Nearest neighbors, nearest centroids, cross-validation and grid-search Materials on the course website: ...
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