- Feature Engineering
- Jupyter
- Supervised Learning
- Classification And Regression Tree (CART)
- NumPy
- Predictive Modeling
- Artificial Intelligence
- Machine Learning
- Python Programming
- Regression Analysis
- Scikit Learn (Machine Learning Library)
- Data Transformation
Supervised Machine Learning: Regression and Classification
Completed by Teresa Wing-Shan Yan
October 9, 2025
33 hours (approximately)
Teresa Wing-Shan Yan's account is verified. Coursera certifies their successful completion of Supervised Machine Learning: Regression and Classification
What you will learn
Build machine learning models in Python using popular machine learning libraries NumPy & scikit-learn
Build & train supervised machine learning models for prediction & binary classification tasks, including linear regression & logistic regression
Skills you will gain
