Skill Path

Intermediate Machine Learning

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.

To start this Skill Path, upgrade your plan.
1,599 learners enrolled
  • Skill level

    Intermediate
  • Time to complete

    8 hours
  • Certificate of completion

    Yes
  • Prerequisites

    1 course

About this skill path

This Skill Path is the next step in your Machine Learning Journey. In it, you will leverage tools like Ensemble Methods and Hyperparameter tuning to power up your machine learning models. You will add new tools to your machine learning toolbox, including Naive Bayes Classifiers and Support Vector Machines, and apply LDA to reduce your data’s dimensionality.

Skills you'll gain

  • Tune and boost models
  • Reduce dimensionality with LDA
  • Build Naive Bayes and SVM classifiers

Syllabus

5 units • 7 lessons • 5 projects • 5 quizzes
  • 1

    Welcome to the Intermediate Machine Learning Skill Path!

    Discover what you will learn in Intermediate Machine Learning!

  • 2

    Supervised Learning II: Advanced Regressors and Classifiers

    Learn about supervised learning algorithms like Naive Bayes, Support Vector Machines and Linear Discriminant Analysis.

  • 3

    Regularization and Hyperparameter Tuning

    Learn how to improve and tune machine learning models using regularization and hyperparameter tuning!

  • 4

    Ensemble Methods in Machine Learning

    Learn about ensembling methods in machine learning!

  • 5

    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.

The platform

Hands-on learning

Animated GIF of an AI provided error explanation within Codecademy's learning environment
Mobile-friendly version of a lesson and code editor for the course 'Introduction to HTML' running in Codecademy's learning environment
An AI-generated hint within the instructions of a Codecademy project
Animated GIF of a mouse cursor hovering over the Python term "comment" displaying a Docs tooltip within a Codecademy lesson

Reviews from learners

  • The progress I have made since starting to use codecademy is immense! I can study for short periods or long periods at my own convenience - mostly late in the evenings.
    Chris
    Codecademy Learner @ USA
  • I felt like I learned months in a week. I love how Codecademy uses learning by practice and gives great challenges to help the learner to understand a new concept and subject.
    Rodrigo
    Codecademy Learner @ UK
  • Brilliant learning experience. Very interactive. Literally a game changer if you're learning on your own.
    John-Andrew
    Codecademy Learner @ USA

Our learners work at

  • Google Logo
  • Meta Logo
  • Apple Logo
  • EA Logo
  • Amazon Logo
  • IBM Logo
  • Microsoft Logo
  • Reddit Logo
  • Spotify Logo
  • Uber Logo
  • YouTube Logo
  • Instagram Logo
How it works

Skill paths help you level-up

  1. Get a specialized skill

    Want to level up at work? Gain a practical, real-world skill that you can use right away to stand out at your job.
  2. Get step-by-step guidance

    We guide you through exactly where to start and what to learn next to build a new skill.
  3. Get there quickly

    We’ve hand-picked the content in each Skill Path to fast-track your journey and help you gain a new skill in just a few months.

Ready to learn a new skill?

Get started on Intermediate Machine Learning with a free Codecademy account.

Looking for something else?

Browse more topics

View full catalog

What's included in skill paths

  • Practice Projects

    Guided projects that help you solidify the skills and concepts you're learning.
  • Assessments

    Auto-graded quizzes and immediate feedback help you reinforce your skills as you learn.
  • Certificate of Completion

    Earn a document to prove you've completed a course or path that you can share with your network.