- Feature Engineering
- Data Science
- Python Programming
- Model Evaluation
- Data Visualization
- Scikit Learn (Machine Learning Library)
- Applied Machine Learning
- Supervised Learning
- Tensorflow
- Data Preprocessing
- Data Manipulation
- Machine Learning
Support Vector Machines in Python, From Start to Finish
Completed by Afif Naufal Dhaifullah
June 23, 2020
1 hours (approximately)
Afif Naufal Dhaifullah'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
