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Learner Reviews & Feedback for Machine Learning Capstone by IBM
131 ratings
About the Course
This Machine Learning Capstone course uses various Python-based machine learning libraries, such as Pandas, sci-kit-learn, and Tensorflow/Keras. You will also learn to apply your machine-learning skills and demonstrate your proficiency in them. Before taking this course, you must complete all the previous courses in the IBM Machine Learning Professional Certificate.
In this course, you will also learn to build a course recommender system, analyze course-related datasets, calculate cosine similarity, and create a similarity matrix. Additionally, you will generate recommendation systems by applying your knowledge of KNN, PCA, and non-negative matrix collaborative filtering.
Finally, you will share your work with peers and have them evaluate it, facilitating a collaborative learning experience.
Top reviews
DB
Apr 9, 2025
I learned so much by completing the machine learning capstone project. I encourage anyone who decides to take this course to explore the deeper nuances of each type of recommender system.
BS
Apr 16, 2025
Really great course which combines informational videos with hands on labs. The projects at the end are great fun and an awesome way to apply what you've learnt during the course.
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26 - 26 of 26 Reviews for Machine Learning Capstone
By Miguel A O C
•Aug 5, 2024
Pesimo el sistema de calificacion, basura!