- Copenhagen, Denmark
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book-maturity
book-maturity PublicUsing webscraping, NLP, XGBoost, LSTM, and computer vision to identify the maturity level of a book to improve recommendations.
Jupyter Notebook 3
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an-a-z-of-machine-learning
an-a-z-of-machine-learning PublicMy blog for refining my thinking and understanding of machine learning topics.
Jupyter Notebook 1
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text-maturity-app
text-maturity-app PublicWeb app which predicts the minimum age of a reader for a given book.
Python 1
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decision-trees-and-random-forest
decision-trees-and-random-forest PublicMaterials for the lesson delivered on May 28, 2020
Jupyter Notebook
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