- 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 Wilter José Menoscal Saltos
January 11, 2024
33 hours (approximately)
Wilter José Menoscal Saltos'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
