- Python Programming
- Data Science
- Supervised Learning
- Cloud Computing
- Tensorflow
- Machine Learning
- Scikit Learn (Machine Learning Library)
- Data Processing
- Pandas (Python Package)
- Applied Machine Learning
- Data Visualization
- Classification And Regression Tree (CART)
Support Vector Machines in Python, From Start to Finish
Completed by Himanshu Chintalapudi
April 14, 2024
1 hours (approximately)
Himanshu Chintalapudi'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
