Support Vector Machines in Python, From Start to Finish
Completed by Joe Zuhlsdorf
January 21, 2026
1 hours (approximately)
Joe Zuhlsdorf's account is verified. Coursera certifies their successful completion of Support Vector Machines in Python, From Start to Finish
What you will learn
Import data into, and manipulating a pandas dataframe
Format the data for a support vector machine, including One-Hot Encoding and missing data.
Optimize parameters for the radial basis function and classification
Build, evaluate, draw and interpret a support vector machine
Skills you will gain
- Category: Scientific Visualization
- Category: Machine Learning Software
- Category: Statistical Machine Learning
- Category: Classification Algorithms
- Category: Tensorflow
- Category: Applied Machine Learning
- Category: Python Programming
- Category: Model Training
- Category: Model Evaluation
- Category: Machine Learning Methods
- Category: Data Preprocessing
- Category: Scikit Learn (Machine Learning Library)
