Machine Learning Capstone
By External Provider
About this 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.
What you will learn
- Compare and contrast different machine learning algorithms by creating recommender systems in Python
- Predict course ratings by training a neural network and constructing regression and classification models
- Create recommendation systems by applying your knowledge of KNN, PCA, and non-negative matrix collaborative filtering
- Develop a final presentation and evaluate your peers’ projects