Support Vector Machines in Python, From Start to Finish
Completed by Yohannes Sebastian Sibarani
June 23, 2020
1 hours (approximately)
Yohannes Sebastian Sibarani'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: Classification Algorithms
- Category: Scikit Learn (Machine Learning Library)
- Category: Model Evaluation
- Category: Applied Machine Learning
- Category: Statistical Machine Learning
- Category: Tensorflow
- Category: Model Training
- Category: Python Programming
- Category: Machine Learning Methods
- Category: Data Preprocessing
- Category: Predictive Modeling
