nto a pandas dataframe named data_firstname where first name is you name. 6. Using Pandas, Matplotlib, seaborn (you can use any or a mix) generate 3-5 plots and add them to your written response explaining what are the key insights and findings from the plots. 7. Separate the features from the class. 8. Split your data into train 80% train and 20% test, use the last two digits of your student number for the seed. Build Classification Models Support vector machine classifier with linear kernel breast cancer problem : I have already answered 1 to 3. Please provide solution from 4,5,6,7.  Programming language python

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
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Load & check the data:
1. Load the data into a pandas dataframe named data_firstname where first name is you name.
6. Using Pandas, Matplotlib, seaborn (you can use any or a mix) generate 3-5 plots and add them
to your written response explaining what are the key insights and findings from the plots.
7. Separate the features from the class.
8. Split your data into train 80% train and 20% test, use the last two digits of your student number
for the seed.
Build Classification Models
Support vector machine classifier with linear kernel

breast cancer problem : I have already answered 1 to 3. Please provide solution from 4,5,6,7. 

Programming language python

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