- Artificial Intelligence
- Predictive Modeling
- Jupyter
- Scikit Learn (Machine Learning Library)
- Feature Engineering
- NumPy
- Supervised Learning
- Classification And Regression Tree (CART)
- Data Transformation
- Applied Machine Learning
- Machine Learning
- Regression Analysis
Supervised Machine Learning: Regression and Classification
Completed by Ricardo Teixeira Azeredo
June 23, 2024
33 hours (approximately)
Ricardo Teixeira Azeredo'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
