- Jupyter
- Scikit Learn (Machine Learning Library)
- Predictive Modeling
- Supervised Learning
- Regression Analysis
- Feature Engineering
- Statistical Modeling
- NumPy
- Classification And Regression Tree (CART)
- Machine Learning
- Artificial Intelligence
- Python Programming
Supervised Machine Learning: Regression and Classification
Completed by Joseph William George Chittock
February 22, 2023
33 hours (approximately)
Joseph William George Chittock'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
