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
├── 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
pip install -r requirements.txt
jupyter notebook
imblearn
jupyter
pandas
rise
sklearn
xgboost
Presentation held at 10.09.18