- Scikit Learn (Machine Learning Library)
- Supervised Learning
- Regression Analysis
- NumPy
- Classification And Regression Tree (CART)
- Machine Learning
- Artificial Intelligence
- Jupyter
- Predictive Modeling
- Feature Engineering
- Statistical Modeling
- Applied Machine Learning
Supervised Machine Learning: Regression and Classification
Completed by Rafael Esguerra Ronda Jr.
June 2, 2024
33 hours (approximately)
Rafael Esguerra Ronda Jr.'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
