- Feature Engineering
- Python Programming
- NumPy
- Statistical Modeling
- Predictive Modeling
- Jupyter
- Supervised Learning
- Classification And Regression Tree (CART)
- Artificial Intelligence
- Regression Analysis
- Data Transformation
- Scikit Learn (Machine Learning Library)
Supervised Machine Learning: Regression and Classification
Completed by EMILIE TRUELSEN
February 16, 2025
33 hours (approximately)
EMILIE TRUELSEN'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
