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Advanced Scikit-Learn Techniques

Overview

Skills Needed

Take your Scikit-Learn skills to the next level for complex machine learning problems. Explore ensemble methods, model stacking, and advanced model selection with Scikit-Learn.

  • Proficiency in Scikit-Learn basics
  • Familiarity with ensemble methods

Outline

  • Ensemble Methods in Scikit-Learn
  • Model Stacking Techniques
  • Feature Selection and Importance
  • Model Interpretability Techniques
  • Model Calibration
  • Anomaly Detection with Scikit-Learn
  • Text Classification with Scikit-Learn
  • Time Series Forecasting
  • Handling Missing Data
  • Best Practices for Advanced Scikit-Learn Users

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