Support Vector Machines in Python, From Start to Finish
Completed by Prashant Mishra
May 14, 2020
1 hours (approximately)
Prashant Mishra'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: Applied Machine Learning
- Category: Tensorflow
- Category: Data Visualization
- Category: Classification Algorithms
- Category: Python Programming
- Category: Data Science
- Category: Model Training
- Category: Scikit Learn (Machine Learning Library)
- Category: Model Evaluation
- Category: Predictive Modeling
- Category: Machine Learning
- Category: Data Preprocessing
