Support Vector Machines in Python, From Start to Finish
Completed by Tarak Nandy
July 27, 2020
1 hours (approximately)
Tarak Nandy'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 Software
- Category: Scientific Visualization
- Category: Python Programming
- Category: Model Training
- Category: Classification Algorithms
- Category: Data Science
- Category: Tensorflow
- Category: Cloud Computing
- Category: Predictive Modeling
- Category: Machine Learning
- Category: Model Evaluation
- Category: Applied Machine Learning
