- Python Programming
- Unsupervised Learning
- Applied Machine Learning
- Dimensionality Reduction
- Classification Algorithms
- Scikit Learn (Machine Learning Library)
- Random Forest Algorithm
- Supervised Learning
- Data Preprocessing
- Artificial Neural Networks
- Machine Learning
- Data Cleansing
Machine Learning Models in Science
Completed by George Kariuki
January 22, 2022
11 hours (approximately)
George Kariuki's account is verified. Coursera certifies their successful completion of Machine Learning Models in Science
What you will learn
Implement and evaluate machine learning models (neural networks, random forests, etc.) on scientific data in Python
Skills you will gain

