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License: MIT License
test.csv
to test_small_all_features.csv
that has 1,000,000 rows size with all needed columns (features).Prediction_original.ipynb
, we predicted with the original features but Prediction_all_features.ipynb
with all related features. For the notebooks from Prediction_V1.ipynb to Prediction_V5.ipynb, these are the prediction by using different part of the related features. We can see that the prediction is getting better and better which means all the new-created features are good for our prediction.A declarative, efficient, and flexible JavaScript library for building user interfaces.
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