you need to produce a classifier using that method for the data. However, if you explore the problem very thoroughly preprocessing the data, looking at different methods, choosing their best parameter settings and identifying the best classifier in a principled and explainable way. You can choose to use R or Python to build, optimise and test different models.
I will attach 3 datasets: a training set for training your model (it contains the target values), a test set for testing the model (it does not have the target values – you need to predict them) and a sample which shows you what the results should look like.
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Hi, I am Ibrahim and I am a data scientist, I am a kaggler too, I need info on the algorithms or classifiers you want to apply on the dataset. This will be done in R. Regards, Ibrahim Anjum