Learner Reviews & Feedback for Machine Learning Capstone by IBM

4.7

stars

161 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

Aug 28, 2024

good for getting overview of different machine learning ways

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 - 35 of 35 Reviews for Machine Learning Capstone

By Poonam K

•

Jan 10, 2025

Good

By ASWINKUMAR S

•

Aug 3, 2024

good

By Sachin B

•

Apr 29, 2024

good

By Sanapala Y

•

Dec 28, 2024

This course was absolutely amazing and help us put our knowledge for real world applications. However, I believe peer grading system should be supervised, because some peers are grading 0 for everything. Thank you!!

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