- Jupyter
- Statistical Modeling
- Regression Analysis
- Data Transformation
- Feature Engineering
- Supervised Learning
- Predictive Modeling
- Machine Learning
- Python Programming
- NumPy
- Applied Machine Learning
- Artificial Intelligence
Supervised Machine Learning: Regression and Classification
Completed by CHUKWUEMEKE GIDEON OFUZOR
March 31, 2025
33 hours (approximately)
CHUKWUEMEKE GIDEON OFUZOR'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
