- Python Programming
- Supervised Learning
- Scikit Learn (Machine Learning Library)
- Machine Learning
- Classification Algorithms
- Artificial Intelligence
- Predictive Modeling
- Feature Engineering
- Data Preprocessing
- Unsupervised Learning
- NumPy
- Model Evaluation
Supervised Machine Learning: Regression and Classification
Completed by UKACHI AGNES EZE MBEY
May 13, 2024
33 hours (approximately)
UKACHI AGNES EZE MBEY'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
