- Technical Communication
- Artificial Neural Networks
- Supervised Learning
- Regression Analysis
- Data Presentation
- Machine Learning
- Applied Machine Learning
- Scikit Learn (Machine Learning Library)
- Data Analysis
- Keras (Neural Network Library)
- Unsupervised Learning
- Python Programming
Machine Learning Capstone
Completed by UDAY MALHOTRA
March 13, 2024
20 hours (approximately)
UDAY MALHOTRA'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
