Support Vector Machines in Python, From Start to Finish
Completed by Konstantinos KARALAZOS
June 22, 2020
1 hours (approximately)
Konstantinos KARALAZOS'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: Predictive Modeling
- Category: Machine Learning
- Category: Classification Algorithms
- Category: Python Programming
- Category: Tensorflow
- Category: Data Visualization
- Category: Applied Machine Learning
- Category: Scikit Learn (Machine Learning Library)
- Category: Model Evaluation
- Category: Model Training
- Category: Data Preprocessing
