- Supervised Learning
- Unsupervised Learning
- Model Evaluation
- NumPy
- Machine Learning
- Scikit Learn (Machine Learning Library)
- Artificial Intelligence
- Feature Engineering
- Python Programming
- Logistic Regression
- Regression Analysis
- Jupyter
Supervised Machine Learning: Regression and Classification
Completed by Jalil Asadi
March 13, 2024
33 hours (approximately)
Jalil Asadi'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
