- Regression Analysis
- Artificial Intelligence
- Machine Learning
- Unsupervised Learning
- Scikit Learn (Machine Learning Library)
- Jupyter
- Model Evaluation
- Supervised Learning
- NumPy
- Classification Algorithms
- Predictive Modeling
- Logistic Regression
Supervised Machine Learning: Regression and Classification
Completed by Hana Salah Mohamed Nasr El din
June 17, 2024
33 hours (approximately)
Hana Salah Mohamed Nasr El din'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
