| Problem | Data | Methods | Libs | Link |
|---|---|---|---|---|
Imbalanced Data |
Car Booking | Random Forest Classifier |
Sklearn, Pandas, Seaborn |
https://github.com/erdiolmezogullari/ml-imbalanced-car-booking-data |
If you want to see the further ML projects, you may visit my main repo: https://github.com/erdiolmezogullari/ml-projects
We built a machine learning model that answers the question, -what is the customer preference- on car booking dataset.
We explored the dataset by using Seaborn, and transformed, derived new features necessary.
In addition, the shape of dataset is imbalanced. It means that the target variable's distribution is skewed. To overcome that challenge, there are already defined a few different techniques (e.g. over/under resampling techniques) and intuitive approaches. We try to solve that problem using resampling techniques, as well.