- Model Evaluation
- NumPy
- Artificial Intelligence
- Regression Analysis
- Data Preprocessing
- Machine Learning
- Feature Engineering
- Jupyter
- Scikit Learn (Machine Learning Library)
- Predictive Modeling
- Unsupervised Learning
- Classification Algorithms
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
