- Supervised Learning
- Feature Engineering
- Model Evaluation
- Scikit Learn (Machine Learning Library)
- Unsupervised Learning
- Python Programming
- Data Preprocessing
- Classification Algorithms
- NumPy
- Regression Analysis
- Logistic Regression
- Artificial Intelligence
Supervised Machine Learning: Regression and Classification
Completed by Carl Joseph Padullo Mate
August 23, 2022
33 hours (approximately)
Carl Joseph Padullo Mate'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
