Support Vector Machines in Python, From Start to Finish
Completed by Pedro Danilo Matsusaki Marcato
August 16, 2020
1 hours (approximately)
Pedro Danilo Matsusaki Marcato'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: Machine Learning Software
- Category: Predictive Modeling
- Category: Tensorflow
- Category: Model Training
- Category: Machine Learning
- Category: Data Preprocessing
- Category: Classification Algorithms
- Category: Scikit Learn (Machine Learning Library)
- Category: Model Optimization
- Category: Applied Machine Learning
- Category: Data Science
- Category: Python Programming
