Support Vector Machines in Python, From Start to Finish
Completed by Vlasta Korenkova
December 13, 2024
1 hours (approximately)
Vlasta Korenkova'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: Data Science
- Category: Cloud Computing
- Category: Model Optimization
- Category: Data Preprocessing
- Category: Model Evaluation
- Category: Machine Learning Software
- Category: Scientific Visualization
- Category: Machine Learning
- Category: Applied Machine Learning
- Category: Statistical Machine Learning
- Category: Tensorflow
- Category: Scikit Learn (Machine Learning Library)
