Supervised Machine Learning: Regression and Classification
Completed by Mark Gschwind
October 20, 2024
33 hours (approximately)
Mark Gschwind'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
- Category: Classification Algorithms
- Category: Applied Machine Learning
- Category: Model Optimization
- Category: Supervised Learning
- Category: Artificial Intelligence
- Category: Machine Learning
- Category: Regression Analysis
- Category: Predictive Modeling
- Category: Scikit Learn (Machine Learning Library)
- Category: Jupyter
- Category: Data Preprocessing
- Category: Feature Engineering
