- Unsupervised Learning
- Data Transformation
- Classification Algorithms
- Data Cleansing
- Dimensionality Reduction
- Artificial Neural Networks
- Data Preprocessing
- Random Forest Algorithm
- Python Programming
- Applied Machine Learning
- Supervised Learning
- Scikit Learn (Machine Learning Library)
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
