- Model Evaluation
- Regression Analysis
- NumPy
- Unsupervised Learning
- Jupyter
- Data Preprocessing
- Python Programming
- Feature Engineering
- Artificial Intelligence
- Logistic Regression
- Machine Learning
- Predictive Modeling
Supervised Machine Learning: Regression and Classification
Completed by Amin Azimi
May 18, 2024
33 hours (approximately)
Amin Azimi'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
