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datavisualisation

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This project includes analysis to identify trends and give insights into factors which affect default rates on LendingClub loans between 2007 - 2011. Data visualisations were created as well as a predictive model to help identify who LendingClub should lend to in the future. Data cleaning, analysis and modelling were carried out in Python.

  • Updated Mar 15, 2021
  • Jupyter Notebook

Review sentiment based on drug user reviews text/ dataset, using a supervised binary text classifier, which will classify user reviews as positive or negative

  • Updated Sep 14, 2023
  • Jupyter Notebook

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