- Unsupervised Learning
- Feature Engineering
- Artificial Intelligence
- Predictive Modeling
- Data Preprocessing
- NumPy
- Model Evaluation
- Python Programming
- Supervised Learning
- Scikit Learn (Machine Learning Library)
- Logistic Regression
- Classification Algorithms
Supervised Machine Learning: Regression and Classification
Completed by Michael Fabian Ramos Hernandez
October 16, 2022
33 hours (approximately)
Michael Fabian Ramos Hernandez'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
