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
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
Chapter3: Table Creation And Management
Section: Chapter Questions
Problem 9RQ: What happens if you try to decrease the scale or precision of a NUMBER column to a value less than...
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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
breast cancer problem : I have already answered 1 to 3. Please provide solution from 4,5,6,7.
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