- Scikit Learn (Machine Learning Library)
- Python Programming
- NumPy
- Feature Engineering
- Predictive Modeling
- Machine Learning
- Data Preprocessing
- Logistic Regression
- Classification Algorithms
- Jupyter
- Unsupervised Learning
- Supervised Learning
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
