- Feature Engineering
- Scikit Learn (Machine Learning Library)
- Data Preprocessing
- Supervised Learning
- Machine Learning
- Model Evaluation
- Classification Algorithms
- Python Programming
- Jupyter
- Unsupervised Learning
- Regression Analysis
- Artificial Intelligence
Supervised Machine Learning: Regression and Classification
Completed by EDUARDO CASTILLO GARCIA
June 16, 2023
33 hours (approximately)
EDUARDO CASTILLO GARCIA'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
