- Feature Engineering
- Data Preprocessing
- Machine Learning
- Classification Algorithms
- Python Programming
- Scikit Learn (Machine Learning Library)
- Regression Analysis
- Unsupervised Learning
- Jupyter
- Supervised Learning
- Artificial Intelligence
- Logistic Regression
Supervised Machine Learning: Regression and Classification
Completed by Marasinghe Mudiyanselage Pumudu Nadun Rajakaruna
April 11, 2024
33 hours (approximately)
Marasinghe Mudiyanselage Pumudu Nadun Rajakaruna'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
