Skill PathTo start this Skill Path, upgrade your plan.
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.
This skill path includes
This skill path includes
Skill level
IntermediateTime to complete
Average based on combined completion rates — individual pacing in lessons, projects, and quizzes may vary8 hoursProjects
5Prerequisites
1 courseWe suggest you complete the following courses before you get started with Intermediate Machine Learning:- Build a Machine Learning Model
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.
Certificate of completion available with Plus or Pro
Earn a certificate of completion and showcase your accomplishment on your resume or LinkedIn.
Projects in this skill path
- practice Project
Email Similarity
In this project you will categorize emails using a Naive Bayes Classifier. - practice Project
Predict Baseball Strike Zones With Machine Learning
Calculate and visualize MLB player strike zones based on their real data. - practice Project
Predict Wine Quality with Regularization
Build a wine quality classifier with logistic regression using regularization.
Earn a certificate of completion
Show your network you've done the work by earning a certificate of completion for each course or path you finish.- Show proofReceive a certificate that demonstrates you've completed a course or path.
- Build a collectionThe more courses and paths you complete, the more certificates you collect.
- Share with your networkEasily add certificates of completion to your LinkedIn profile to share your accomplishments.
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.ChrisCodecademy 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.RodrigoCodecademy Learner @ UK
- Brilliant learning experience. Very interactive. Literally a game changer if you're learning on your own.John-AndrewCodecademy Learner @ USA
Our learners work at
How it works
Skill paths help you level-up
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.Get step-by-step guidance
We guide you through exactly where to start and what to learn next to build a new skill.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.StartLooking for something else?
Related resources
- Article
Scikit-Learn Tutorial: Python Machine Learning Model Building
Learn how to build powerful machine learning models with scikit-learn in Python. Master essential techniques from installation to implementation with practical examples and comparisons. - Article
What Is Deep Learning?
A quick overview of deep learning and its applications - Article
Dangers of the Black Box
Deep learning models have deep implications.
Related courses and paths
- Explore bagging, boosting, stacking, and more in this introduction to ensemble methods in machine learning.
- Intermediate.2 hours
- Machine Learning/AI Engineers build end-to-end ML applications and power many of the apps we use every day. They work in Python, Git, & ML.
- Includes 7 Courses
- With Certificate
- Intermediate.50 hours
- Improve machine learning models with hyperparameter tuning.
- Intermediate.1 hour
Browse more topics
- Python4,236,744 learners enrolled
- Data science5,241,336 learners enrolled
- Machine learning791,498 learners enrolled
- Code foundations8,424,083 learners enrolled
- Computer science6,913,847 learners enrolled
- Web development5,649,983 learners enrolled
- For business4,037,298 learners enrolled
- JavaScript3,173,098 learners enrolled
- Data analytics3,140,784 learners enrolled
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.