This competition is an example of supervised machine learning classification. Supervised machine learning uses algorithms to train a model to find patterns in a dataset with target labels and features. It then uses the trained model to predict the target labels on a new dataset’s...
Explore and run machine learning code with Kaggle Notebooks | Using data from Banking Dataset Classification
Explore and run machine learning code with Kaggle Notebooks | Using data from Banking Dataset - Marketing Targets
Hi Tavish, Great post as usual and a very interesting one. As you rightly said, “Till the moment you don’t step into water, you can’t make out how deep it is” it fits perfectly for Kaggle problems. We can learn a lot by hands on experimentation is what I have experienced as ...
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Explore and run machine learning code with Kaggle Notebooks | Using data from Banking Dataset Classification
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Transaction Data for Banking Operationsmore_vert Ziya· Updated 24 days ago Usability 9.4· 33 kB 1 File (CSV) arrow_drop_up22 S&P500 Daily Update datasetmore_vert Yash· Updated 20 hours ago Usability 9.4· 66 MB arrow_dr...
1) general, not dependent explicitly on used dataset, and 2) incorporate stability directly into your training model / loss function (not on the level of feature preparation or feature selection) Your notebook is public (can be made public at the end of the competition) Scoring Innovation (...