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: Scientific Visualization
- Category: Applied Machine Learning
- Category: Statistical Machine Learning
- Category: Tensorflow
- Category: Python Programming
- Category: Model Training
- Category: Predictive Modeling
- Category: Machine Learning
- Category: Scikit Learn (Machine Learning Library)
- Category: Model Evaluation
- Category: Data Preprocessing
- Category: Machine Learning Methods
