- Unsupervised Learning
- Data Analysis
- Keras (Neural Network Library)
- Exploratory Data Analysis
- Data Presentation
- Python Programming
- Artificial Neural Networks
- Regression Analysis
- Applied Machine Learning
- Supervised Learning
- Machine Learning
- Technical Communication
Machine Learning Capstone
Completed by Elijah Bweemi Mugenyi .
June 17, 2024
20 hours (approximately)
Elijah Bweemi Mugenyi .'s account is verified. Coursera certifies their successful completion of Machine Learning Capstone
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
Skills you will gain
