- Supervised Learning
- Feature Engineering
- Model Evaluation
- Scikit Learn (Machine Learning Library)
- Unsupervised Learning
- Python Programming
- Data Preprocessing
- Classification Algorithms
- NumPy
- Regression Analysis
- Logistic Regression
- Artificial Intelligence
Supervised Machine Learning: Regression and Classification
Completed by Senadheera Pathirannahalage Poorna Anjalika Gunawardana
January 28, 2024
33 hours (approximately)
Senadheera Pathirannahalage Poorna Anjalika Gunawardana'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
