Support Vector Machines in Python, From Start to Finish
Completed by Riny Nurhajati
May 9, 2024
1 hours (approximately)
Riny Nurhajati'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: Machine Learning Methods
- Category: Scikit Learn (Machine Learning Library)
- Category: Model Evaluation
- Category: Model Optimization
- Category: Data Preprocessing
- Category: Machine Learning Software
- Category: Scientific Visualization
- Category: Classification Algorithms
- Category: Predictive Modeling
- Category: Model Training
- Category: Python Programming
- Category: Applied Machine Learning
