- Artificial Neural Networks
- Scikit Learn (Machine Learning Library)
- Supervised Learning
- Exploratory Data Analysis
- Technical Communication
- Data Presentation
- Keras (Neural Network Library)
- Applied Machine Learning
- Machine Learning
- Data Analysis
- Unsupervised Learning
- Python Programming
Machine Learning Capstone
Completed by abhinav anand
December 11, 2022
20 hours (approximately)
abhinav anand'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
