- Logistic Regression
- NumPy
- Python Programming
- Model Evaluation
- Unsupervised Learning
- Artificial Intelligence
- Feature Engineering
- Data Preprocessing
- Jupyter
- Regression Analysis
- Supervised Learning
- Predictive Modeling
Supervised Machine Learning: Regression and Classification
Completed by Javier Jeancarlo Rodriguez Mendoza
May 2, 2025
33 hours (approximately)
Javier Jeancarlo Rodriguez Mendoza'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
