- Logistic Regression
- Supervised Learning
- Machine Learning
- Classification Algorithms
- Model Evaluation
- Jupyter
- Feature Engineering
- Predictive Modeling
- Scikit Learn (Machine Learning Library)
- Unsupervised Learning
- Artificial Intelligence
- Regression Analysis
Supervised Machine Learning: Regression and Classification
Completed by Giovanni Di Santi
July 31, 2024
33 hours (approximately)
Giovanni Di Santi'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
