Support Vector Machines in Python, From Start to Finish
Completed by Asrar Magzoub
March 27, 2024
1 hours (approximately)
Asrar Magzoub'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: Statistical Machine Learning
- Category: Python Programming
- Category: Model Training
- Category: Model Evaluation
- Category: Machine Learning Methods
- Category: Model Optimization
- Category: Scikit Learn (Machine Learning Library)
- Category: Data Preprocessing
- Category: Machine Learning Software
- Category: Scientific Visualization
- Category: Data Science
- Category: Classification Algorithms
