- Logistic Regression
- Feature Engineering
- Scikit Learn (Machine Learning Library)
- Model Evaluation
- Supervised Learning
- Classification Algorithms
- Python Programming
- Data Preprocessing
- NumPy
- Unsupervised Learning
- Jupyter
- Artificial Intelligence
Supervised Machine Learning: Regression and Classification
Completed by Ganithage Eranda Chinthaka Nandasena
September 3, 2024
33 hours (approximately)
Ganithage Eranda Chinthaka Nandasena'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
