- Feature Engineering
- Classification Algorithms
- Supervised Learning
- Data Visualization
- Scikit Learn (Machine Learning Library)
- Data Preprocessing
- Machine Learning
- Model Evaluation
- Python Programming
- Applied Machine Learning
- Data Manipulation
- Data Science
Support Vector Machines in Python, From Start to Finish
Completed by Konstantinos KARALAZOS
June 22, 2020
1 hours (approximately)
Konstantinos KARALAZOS'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
