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  • Basic Modeling in scikit-learn

  • Dealing with Messy Data

  • Conforming to Statistical Assumptions

  • Dealing with Text Data

  • Creating Features

  • Preprocessing - Putting it all together

  • Selecting features for modeling

  • Feature Engineering

  • Standardizing Data

  • Introduction to Data Preprocessing

  • Feature extraction

  • Feature selection II - selecting for model accuracy

  • Feature selection I - selecting for feature information

  • Exploring high dimensional data

  • Using XGBoost in pipelines