- Predictive Modeling
- Classification Algorithms
- Scikit Learn (Machine Learning Library)
- Model Evaluation
- Regression Analysis
- Supervised Learning
- Machine Learning
- Unsupervised Learning
- NumPy
- Artificial Intelligence
- Python Programming
- Logistic Regression
Supervised Machine Learning: Regression and Classification
Completed by Fathy Hesham Fathy El Barbary Abdel Aziz
May 5, 2024
33 hours (approximately)
Fathy Hesham Fathy El Barbary Abdel Aziz'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
