- Jupyter
- NumPy
- Data Preprocessing
- Predictive Modeling
- Supervised Learning
- Python Programming
- Unsupervised Learning
- Feature Engineering
- Classification Algorithms
- Regression Analysis
- Scikit Learn (Machine Learning Library)
- Model Evaluation
Supervised Machine Learning: Regression and Classification
Completed by Bruno André Che León Burgos
September 19, 2022
33 hours (approximately)
Bruno André Che León Burgos'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
