- NumPy
- Classification Algorithms
- Regression Analysis
- Machine Learning
- Feature Engineering
- Model Evaluation
- Unsupervised Learning
- Python Programming
- Predictive Modeling
- Jupyter
- Logistic Regression
- Artificial Intelligence
Supervised Machine Learning: Regression and Classification
Completed by Arman Pani
July 1, 2024
33 hours (approximately)
Arman Pani'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
