- Feature Engineering
- Python Programming
- NumPy
- Statistical Modeling
- Predictive Modeling
- Jupyter
- Supervised Learning
- Classification And Regression Tree (CART)
- Artificial Intelligence
- Regression Analysis
- Data Transformation
- Scikit Learn (Machine Learning Library)
Supervised Machine Learning: Regression and Classification
Completed by Mohammad Saleh Abu Saleh
May 5, 2024
33 hours (approximately)
Mohammad Saleh Abu Saleh'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
