- Feature Engineering
- Unsupervised Learning
- Logistic Regression
- Machine Learning
- Predictive Modeling
- Model Evaluation
- Jupyter
- Classification Algorithms
- NumPy
- Regression Analysis
- Data Preprocessing
- Supervised Learning
Supervised Machine Learning: Regression and Classification
Completed by Jihyun Yu
March 26, 2023
33 hours (approximately)
Jihyun Yu'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
