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Learner Reviews & Feedback for Machine Learning Capstone by IBM
56 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. 
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1 - 7 of 7 Reviews for Machine Learning Capstone
By vamsi k
•Dec 23, 2023
Realtime Projects and Exploratory Analysis
By AILA C D
•Apr 14, 2023
EXCELLENT COURSE
By Lefa E M
•Apr 5, 2023
perfect
By UDIMUDI G
•May 25, 2023
superb
By Dan M
•Jul 21, 2023
This was an interesting summary to the specialisation. It covered topics from each of the courses while covering one new topic - recommender systems. It's not substantial enough to stand on it's own as a course, but acts as a "final exam/coursework" for the machine learning specialisation.
By Aakashjit B
•Mar 24, 2024
It was really a quite informative and well planned course. Will continue to get more Professional Certificate from IBM related to ML-DL and Generative AI
By Janapati K
•Oct 13, 2023
good