- Supervised Learning
- Feature Engineering
- Model Evaluation
- Scikit Learn (Machine Learning Library)
- Unsupervised Learning
- Python Programming
- Data Preprocessing
- Classification Algorithms
- NumPy
- Regression Analysis
- Logistic Regression
- Artificial Intelligence
Supervised Machine Learning: Regression and Classification
Completed by SHAHAD SAAD MOHAMMED ALGHAMDI SHAHAD SAAD MOHAMMED ALGHAMDI
January 9, 2025
33 hours (approximately)
SHAHAD SAAD MOHAMMED ALGHAMDI SHAHAD SAAD MOHAMMED ALGHAMDI'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
