- Scikit Learn (Machine Learning Library)
- Classification Algorithms
- Supervised Learning
- Model Evaluation
- Applied Machine Learning
- Machine Learning
- Tensorflow
- Data Preprocessing
- Data Science
- Data Visualization
- Python Programming
- Feature Engineering
Support Vector Machines in Python, From Start to Finish
Completed by Dr.Hari Krishna Gaddam
April 11, 2020
1 hours (approximately)
Dr.Hari Krishna Gaddam'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
