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.
Skill level
IntermediateTime to complete
50 hoursCertificate of completion
YesPrerequisites
1 courseWe suggest you complete the following courses before you get started with Intermediate Machine Learning:- Learn Machine Learning
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.
Hands-on learning
Don't just watch or read about someone else coding — write your own code live in our online, interactive platform. You'll even get AI-driven recommendations on what you need to review to help keep you on track.
Projects in this skill path
- Project
Email Similarity
In this project you will categorize emails using a Naive Bayes Classifier. - Project
Predict Baseball Strike Zones With Machine Learning
Calculate and visualize MLB player strike zones based on their real data. - Project
Predict Wine Quality with Regularization
Build a wine quality classifier with logistic regression using regularization.
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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.
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