The idea is for you to explore using logistics regression,support vector machines, decision trees and random forest
I want you to explore at least 4 ways of running each one. Asexamples:
Using logistics regression there are quite a few parameters:
And with Support Vector Machines(read: https://scikit-learn.org/stable/modules/svm.html),explore:
With Classification trees(https://scikit-learn.org/stable/modules/tree.html#tree), sklearnhas two types:
And there are random forest(https://scikit-learn.org/stable/modules ... Classifier)
Read the documentation, select the 4+ ways you want toexplore each of these 4 classifiers, AND WRITE UP NOTES IN MARKDOWNCELLS Your interpretation and conclusions arereally important
The idea is for you to explore using logistics regression, support vector machines, decision trees and random forest I w
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