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# NLP_60k
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Notebooks run on Kaggle's Kernel
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### A Baseline?
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* [word2vec-umap.ipynb](https://github.com/MachineLearningJournalClub/NLP_60k/blob/main/word2vec-umap.ipynb) : Using pretrained w2v for features extraction + UMAP for visualization purposes; Basic regression (with Gradient Boosting Regression), validation MSE = 0.44
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* * ToDos: K-Fold Cross Validation, W2V vectors augmentation (I'd give a try by applying small perturbations on the training set :) )

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