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Presentation conceptualizing imbalanced datasets, techniques to overcome it and a practical example using the 4th Mckinsey Hackathon hosted by Analytics Vidhya

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Imbalanced Learning

Conceptualization of imbalanced datasets as well as techniques to overcome it, and a practical example using the 4th Mckinsey Analytics Hackathon hosted by Analytics Vidhya

Structure

├── presentation.ipynb                   <- Content of the presentation (Use RISE to enter slide mode)
├── problem_statement_and_analysis.ipynb <- Description of the the Hackaton used as example
├── example_problem.ipynb                <- Attempts to solve the example approaching the problem
├── example_data.ipynb                   <- Attempts to solve the example approaching the dataset
├── example_algorithms.ipynb             <- Attempts to solve the example using different algorithms

How to use

pip install -r requirements.txt
jupyter notebook

Dependencies

imblearn
jupyter
pandas
rise
sklearn
xgboost

Presentation held at 10.09.18

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Presentation conceptualizing imbalanced datasets, techniques to overcome it and a practical example using the 4th Mckinsey Hackathon hosted by Analytics Vidhya

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  • Jupyter Notebook 91.6%
  • HTML 8.3%
  • Python 0.1%