- Logistic Regression
- Feature Engineering
- Scikit Learn (Machine Learning Library)
- Model Evaluation
- Supervised Learning
- Classification Algorithms
- Python Programming
- Data Preprocessing
- NumPy
- Unsupervised Learning
- Jupyter
- Artificial Intelligence
Supervised Machine Learning: Regression and Classification
Completed by Yassine Nemri
April 27, 2023
33 hours (approximately)
Yassine Nemri'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
