- Applied Machine Learning
- Scikit Learn (Machine Learning Library)
- Exploratory Data Analysis
- Artificial Neural Networks
- Data Presentation
- Unsupervised Learning
- Regression Analysis
- Data Analysis
- Keras (Neural Network Library)
- Python Programming
- Supervised Learning
- Tensorflow
Machine Learning Capstone
Completed by Thomas Fiou
January 6, 2025
20 hours (approximately)
Thomas Fiou'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
