学生对 IBM 提供的 Machine Learning Capstone 的评价和反馈

4.7

星

160 个评分

课程概述

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. ...

26 - Machine Learning Capstone 的 35 个评论（共 35 个）

创建者 Poonam K

•

Jan 10, 2025

Good

创建者 ASWINKUMAR S

•

Aug 3, 2024

good

创建者 Sachin B

•

Apr 29, 2024

good

创建者 Sanapala Y

•

Dec 27, 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!!

创建者 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