- Data Science
- Supervised Learning
- Cloud Computing
- Applied Machine Learning
- Machine Learning Methods
- Classification And Regression Tree (CART)
- Python Programming
- Pandas (Python Package)
- Data Processing
- Machine Learning
- Scikit Learn (Machine Learning Library)
- Data Visualization
Support Vector Machines in Python, From Start to Finish
Completed by HAFEZ ALVANRO
June 23, 2020
1 hours (approximately)
HAFEZ ALVANRO'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
