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Practical Machine Learning

The intuition and the code behind modern ML — from clean data to a model you can defend in a room full of skeptics.

The intuition and the code behind modern ML — from clean data to a model you can defend in a room full of skeptics.

What you will learn

  1. The ML workflow, end to end
  2. Data cleaning and features
  3. Regression and classification
  4. Evaluation without fooling yourself
  5. Trees, forests and boosting
  6. A gentle intro to neural nets
  7. Shipping and monitoring a model

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