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