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Codecademy

Intermediate Machine Learning

via Codecademy Path

Overview

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Level up your machine learning skills with tuning methods, advanced models, and dimensionality reduction. Includes **Naive Bayes Classifiers**, **Support Vector Machines (SVM's)**, **Hyperparameter Tuning**, **Boosting and Bagging**, and more.

Syllabus

  • Welcome to the Intermediate Machine Learning Skill Path!
    • Discover what you will learn in Intermediate Machine Learning!
  • Supervised Learning II: Advanced Regressors and Classifiers
    • Learn about supervised learning algorithms like Naive Bayes, Support Vector Machines and Linear Discriminant Analysis.
  • Regularization and Hyperparameter Tuning
    • Learn how to improve and tune machine learning models using regularization and hyperparameter tuning!
  • Ensemble Methods in Machine Learning
    • Learn about ensembling methods in machine learning!
  • Intermediate Machine Learning: Final Portfolio
    • Show off your knowledge of intermediate-level machine learning by developing your final portfolio project on a topic of your choice.

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