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  • Black Box Introduction to Machine Learning
  • Essential NumPy
  • Essential Pandas for Machine Learning
  • Linear Models for Regression & Classification
  • Pre-Processing Techniques using scikit
  • Nearest Neighbors
  • Naive Bayes
  • Decision Trees
  • Composite Estimators using Pipelines & FeatureUnions