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Learner Reviews & Feedback for Machine Learning Capstone by IBM

4.5
stars
53 ratings

About the Course

In this Machine Learning Capstone course, you will be using various Python-based machine learning libraries such as Pandas, scikit-learn, Tensorflow/Keras, to: • build a course recommender system, • analyze course related datasets, calculate cosine similarity, and create a similarity matrix, • create recommendation systems by applying your knowledge of KNN, PCA, and non-negative matrix collaborative filtering, • build similarity-based recommender systems, • predict course ratings by training a neural network and constructing regression and classification models, • build a Streamlit app that displays your work, and • share your work then evaluate your peers....
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1 - 7 of 7 Reviews for Machine Learning Capstone

By vamsi k

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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

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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