- Jupyter
- Supervised Learning
- Applied Machine Learning
- Statistical Modeling
- Machine Learning
- Scikit Learn (Machine Learning Library)
- NumPy
- Artificial Intelligence
- Data Transformation
- Classification And Regression Tree (CART)
- Predictive Modeling
- Regression Analysis
Supervised Machine Learning: Regression and Classification
Completed by Marcos Antônio Alves Barbosa Filho
November 12, 2024
33 hours (approximately)
Marcos Antônio Alves Barbosa Filho'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
