- Logistic Regression
- Supervised Learning
- Machine Learning
- Classification Algorithms
- Model Evaluation
- Jupyter
- Feature Engineering
- Predictive Modeling
- Scikit Learn (Machine Learning Library)
- Unsupervised Learning
- Artificial Intelligence
- Regression Analysis
Supervised Machine Learning: Regression and Classification
Completed by MARAPPULLIGE CHAMODYA PASINDU PURNAMAL
January 22, 2023
33 hours (approximately)
MARAPPULLIGE CHAMODYA PASINDU PURNAMAL'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
