Hi, I started a project on supervised and unsupervised learning but I can’t proceed. (ROC=NAN , packages don’t load).
I need some help on the implementattion of the models and I need you to comment every step and put a final solution on the predictions.Steps to do: implement Logistic, regression, decision, tree, random forest, lasso, SVM, PCA, Kmeans, KNN and others., explain every step and explain the graph, put a final comment with the explanation of the final prediction. At the end knit the codes in html or pdf and send me everything. There are a lot of examples on kaggle, you can follow them, please don’t copy and paste. Thank you https://www.kaggle.com/datasets/pavansubhasht/ibm-…
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