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  • Regular expressions and word tokenization

  • Cross Validation

  • Selecting the best model with Hyperparameter tuning.

  • Validation Basics

  • Basic Modeling in scikit-learn

  • Dealing with Messy Data

  • Creating Features

  • Dealing with Text Data

  • Conforming to Statistical Assumptions

  • Selecting features for modeling

  • Preprocessing - Putting it all together

  • Standardizing Data

  • Feature Engineering

  • Introduction to Data Preprocessing

  • Feature extraction