- NumPy
- Scikit Learn (Machine Learning Library)
- Unsupervised Learning
- Data Preprocessing
- Logistic Regression
- Jupyter
- Regression Analysis
- Classification Algorithms
- Model Evaluation
- Supervised Learning
- Predictive Modeling
- Python Programming
Supervised Machine Learning: Regression and Classification
Completed by Ka Shing Bill Ku
September 25, 2024
33 hours (approximately)
Ka Shing Bill Ku'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
