- Data Analysis
- Technical Communication
- Data Presentation
- Scikit Learn (Machine Learning Library)
- Applied Machine Learning
- Exploratory Data Analysis
- Supervised Learning
- Regression Analysis
- Machine Learning
- Artificial Neural Networks
- Python Programming
- Unsupervised Learning
Machine Learning Capstone
Completed by Pratyush Sen Sharma
April 29, 2023
20 hours (approximately)
Pratyush Sen Sharma'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
