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IBM

Machine Learning Capstone

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. 

Status: Unsupervised Learning
Status: Regression Analysis
AdvancedCourse20 hours

Featured reviews

DB

Reviewed 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.

AB

Reviewed Mar 23, 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

BS

Reviewed 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.

GV

Reviewed Jun 26, 2025

Amazing Project to work on and gain more knowledge of Machine Learning Techniques

SD

Reviewed Oct 19, 2025

helpfull

A

Reviewed Aug 28, 2024

good for getting overview of different machine learning ways

KK

Reviewed Oct 25, 2025

all is good but little diffuclt on seeing the videos and understand

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