- Feature Engineering
- Regression Analysis
- Jupyter
- Machine Learning
- Model Evaluation
- Unsupervised Learning
- Supervised Learning
- Scikit Learn (Machine Learning Library)
- NumPy
- Logistic Regression
- Artificial Intelligence
- Data Preprocessing
Supervised Machine Learning: Regression and Classification
Completed by Xiangzhou Chen
March 28, 2024
33 hours (approximately)
Xiangzhou Chen'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
