- Tensorflow
- Pandas (Python Package)
- Scikit Learn (Machine Learning Library)
- Data Science
- Supervised Learning
- Data Processing
- Machine Learning Methods
- Applied Machine Learning
- Data Visualization
- Classification And Regression Tree (CART)
- Cloud Computing
- Machine Learning
Support Vector Machines in Python, From Start to Finish
Completed by Simon Markus
January 6, 2023
1 hours (approximately)
Simon Markus'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
