Support Vector Machines in Python, From Start to Finish
Completed by Amine Aichane
October 27, 2024
1 hours (approximately)
Amine Aichane'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: Classification Algorithms
- Category: Applied Machine Learning
- Category: Statistical Machine Learning
- Category: Tensorflow
- Category: Machine Learning Software
- Category: Data Science
- Category: Machine Learning Methods
- Category: Cloud Computing
- Category: Predictive Modeling
- Category: Machine Learning
- Category: Scientific Visualization
- Category: Python Programming
