- Classification Algorithms
- Model Evaluation
- Data Preprocessing
- Artificial Intelligence
- Supervised Learning
- Python Programming
- Feature Engineering
- Unsupervised Learning
- Scikit Learn (Machine Learning Library)
- Machine Learning
- Jupyter
- Logistic Regression
Supervised Machine Learning: Regression and Classification
Completed by Frank Arturo Chipana Briceño
April 2, 2024
33 hours (approximately)
Frank Arturo Chipana Briceño'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
