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  • Helsinki, Finland

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  1. compare-nlp-models compare-nlp-models Public

    Effect of very small labeled training data. Comparing different Language Models and context free embeddings for hatespeech detection and business news classification.

    Jupyter Notebook

  2. multi-embedding-attention multi-embedding-attention Public

    Multi-channel embeddings with Attention and Pseudo Labelling. Keras/Pytorch

    Jupyter Notebook 3

  3. ulmfit-language-model ulmfit-language-model Public

    ULMFit Language Model. State of the art LM on Business news classifiation. FastAI / Pytorch.

    Jupyter Notebook 26 14

  4. reuters reuters Public

    Multilabel news classification: comparing different models. Pytorch.

    Jupyter Notebook 5 1

  5. cnn-news-classification-tf cnn-news-classification-tf Public

    Applying dennybritz version of Kim Yoons CNN-classification to entity level sentiment analysis of multilabel newsdata

    Python 5 2

  6. analyse-sales analyse-sales Public

    Predicting customer renewal probability and optimizing sales agents time spent on each customer. This submission ranked top 4 percent in McKinsey Data Scientist hiring hackathon. LGBM, Scipy.

    Jupyter Notebook 1