- 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 Tigris Mendez
February 7, 2024
33 hours (approximately)
Tigris Mendez'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
