- Keras (Neural Network Library)
- Scikit Learn (Machine Learning Library)
- Regression Analysis
- Unsupervised Learning
- Machine Learning
- Technical Communication
- Applied Machine Learning
- Supervised Learning
- Artificial Neural Networks
- Data Analysis
- Python Programming
- Exploratory Data Analysis
Machine Learning Capstone
Completed by Rayen Fehri
October 26, 2023
20 hours (approximately)
Rayen Fehri'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
