- Feature Engineering
- Jupyter
- Supervised Learning
- Classification And Regression Tree (CART)
- NumPy
- Predictive Modeling
- Artificial Intelligence
- Machine Learning
- Python Programming
- Regression Analysis
- Scikit Learn (Machine Learning Library)
- Data Transformation
Supervised Machine Learning: Regression and Classification
Completed by Ricardo Adley da Silva Sena
November 19, 2022
33 hours (approximately)
Ricardo Adley da Silva Sena'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
