- Supervised Learning
- Unsupervised Learning
- Model Evaluation
- NumPy
- Machine Learning
- Scikit Learn (Machine Learning Library)
- Artificial Intelligence
- Feature Engineering
- Python Programming
- Logistic Regression
- Regression Analysis
- Jupyter
Supervised Machine Learning: Regression and Classification
Completed by Sofia Itzel Anibal Escobar
February 1, 2024
33 hours (approximately)
Sofia Itzel Anibal Escobar'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
