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