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[EXE] Handling imbalanced datasets #157

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pritishaw1 opened this issue Jun 19, 2021 · 1 comment
Open

[EXE] Handling imbalanced datasets #157

pritishaw1 opened this issue Jun 19, 2021 · 1 comment

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@pritishaw1
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pritishaw1 commented Jun 19, 2021

Learning Goals

  1. Learning different techniques that one needs to adapt if there is an imbalance in the dataset.

Exercise Statement

  1. 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.

@pritishaw1 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 pritishaw1 changed the title Handling imbalanced datasets [EXE] Handling imbalanced datasets Jun 25, 2021
@sriram-1
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sriram-1 commented Jun 4, 2022

Priti, I would like to work on this. Please assign it to me.

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