- Data Analysis
- Scikit Learn (Machine Learning Library)
- Supervised Learning
- Keras (Neural Network Library)
- Regression Analysis
- Machine Learning
- Unsupervised Learning
- Artificial Neural Networks
- Data Presentation
- Tensorflow
- Exploratory Data Analysis
- Applied Machine Learning
Machine Learning Capstone
Completed by Thabo Pilusa
May 26, 2024
20 hours (approximately)
Thabo Pilusa'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
