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
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
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Related resources
Related courses and paths
- Free course
Ensemble Methods in Machine Learning
Explore bagging, boosting, stacking, and more in this introduction to ensemble methods in machine learning.Intermediate2 hours - Career path
Machine Learning/AI Engineer
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 CoursesWith CertificateIntermediate50 hours - Course
Intro to Hyperparameter Tuning with Python
Improve machine learning models with hyperparameter tuning.Intermediate1 hour
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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.