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Learning different techniques that one needs to adapt if there is an imbalance in the dataset.
Exercise Statement
Different Resampling techniques to handle the dataset imbalance.
Prerequisites
[Prerequisites, in terms of concepts or other exercises in this repo]
Python, Jupyter notebook, Basics of ML
Data source/summary:
Dataset: I will be using an imbalanced dataset.
(Optional) Suggest/Propose Solutions
I will be discussing two main ways, without resampling and with resampling the dataset, to deal with the imbalance and will be happy to create a pull request to include the exercise statement/solution.
The text was updated successfully, but these errors were encountered:
pritishaw1
changed the title
Hey @gimseng, I would like to contribute to this repository, by adding a solution on different ways to handle an imbalance in a dataset.
Handling imbalanced datasets
Jun 19, 2021
pritishaw1
changed the title
Handling imbalanced datasets
[EXE] Handling imbalanced datasets
Jun 25, 2021
Learning Goals
Exercise Statement
Prerequisites
[Prerequisites, in terms of concepts or other exercises in this repo]
Python, Jupyter notebook, Basics of ML
Data source/summary:
Dataset: I will be using an imbalanced dataset.
(Optional) Suggest/Propose Solutions
I will be discussing two main ways, without resampling and with resampling the dataset, to deal with the imbalance and will be happy to create a pull request to include the exercise statement/solution.
The text was updated successfully, but these errors were encountered: