Might want to change the default title of README to the project name, say, 'Breast Cancer Predictors'
In README.md, need a space after ## for section headings in boldface.
Might want to add a python chunk in README to show that you can import the data?
Reasoning
Might want to elaborate a little more on how to effectively plot the decision tree to show the 'top 5' predictors. Depending on the depth of the tree, I wonder if simply plotting the tree diagram provides a good summary.
Maybe this is not covered by the other course at the time of writing, how would you identify the 'top 5' predictors? Might want to elaborate a little more, say, if you are going to rank them by some criterion.
Might want to elaborate a little more on how you are going to 'tune' your decision tree. I guess you are not going to just run the algorithm in default mode...?
Mechanics
The link in your proposal repo only redirect to the release page of the project repo. You can also create a direct link to v1.0 of the repo with https://github.com/milicmil/DSCI_522_Breast_cancer_predictors/tree/v1.0.
Might want to change the default title of README to the project name, say, 'Breast Cancer Predictors'
In README.md, need a space after ## for section headings in boldface.
Might want to add a python chunk in README to show that you can import the data?
Reasoning
Might want to elaborate a little more on how to effectively plot the decision tree to show the 'top 5' predictors. Depending on the depth of the tree, I wonder if simply plotting the tree diagram provides a good summary.
Maybe this is not covered by the other course at the time of writing, how would you identify the 'top 5' predictors? Might want to elaborate a little more, say, if you are going to rank them by some criterion.
Might want to elaborate a little more on how you are going to 'tune' your decision tree. I guess you are not going to just run the algorithm in default mode...?