- Tensorflow
- Feature Engineering
- Data Preprocessing
- Classification Algorithms
- Model Evaluation
- Data Science
- Supervised Learning
- Data Manipulation
- Applied Machine Learning
- Scikit Learn (Machine Learning Library)
- Python Programming
- Machine Learning
Support Vector Machines in Python, From Start to Finish
Completed by SAMUEL AGGARWAL
October 14, 2020
1 hours (approximately)
SAMUEL AGGARWAL'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
