Support Vector Machines in Python, From Start to Finish
Completed by Ahmet Özdemir
May 30, 2020
1 hours (approximately)
Ahmet Özdemir'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: Model Training
- Category: Scikit Learn (Machine Learning Library)
- Category: Machine Learning Software
- Category: Scientific Visualization
- Category: Cloud Computing
- Category: Applied Machine Learning
- Category: Tensorflow
- Category: Model Optimization
- Category: Data Preprocessing
- Category: Model Evaluation
