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Machine Learning Capstone
This course is part of IBM Machine Learning Professional Certificate.
Course Cost
Free course
Advanced
Skill Level
18 Hours
Self-paced lessons
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full IBM Machine Learning Professional Certificate program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
13,110 Enrolled
English
What you'll learn
Create recommendation systems using multiple ML approaches
Implement neural networks for course rating prediction
Apply collaborative filtering and matrix factorization
Develop content-based and clustering recommender systems
Build interactive Streamlit applications
Present and evaluate machine learning solutions
Skills you'll gain
This course includes:
0.3 Hours PreRecorded video
6 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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There are 5 modules in this course
This comprehensive capstone project focuses on building advanced recommendation systems using various machine learning techniques. Students apply their knowledge to create course recommender systems using methods like KNN, PCA, and collaborative filtering. The curriculum covers exploratory data analysis, feature engineering, and both supervised and unsupervised learning approaches. Through hands-on labs, learners implement neural networks for rating prediction and develop a Streamlit app to showcase their work.
Machine Learning Capstone Overview
Module 1 · 4 Hours to complete
Unsupervised-Learning Based Recommender System
Module 2 · 4 Hours to complete
Supervised-Learning Based Recommender Systems
Module 3 · 6 Hours to complete
Share and Present Your Recommender Systems
Module 4 · 1 Hours to complete
Final Submission
Module 5 · 3 Hours to complete
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: IBM Machine Learning Professional Certificate
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Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
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Frequently asked Questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.