ASCI-COEP / ASCI-COEP/Kaggle-Competitions

Build a classification model for Bengali handwritten digits

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Dominant language
Jupyter Notebook
Stars
2
Forks
4
PR merge metrics
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Description

**Bengali Handwritten Digit Recognition**

In this competition, your goal is to correctly identify digits from NumtaDB.
[This ](https://www.kaggle.com/c/numta)is the kaggle link where you will find the relevant dataset. Also, it will help you to understand the problem statement more clearly.

Contributor guide

No contributing guide indexed for this repository

Research direction

Start with the NumtaDB Kaggle competition linked in the issue and read its problem statement and dataset details. Determine how the Bengali handwritten digit data should be used to train and evaluate a classification model. Done means a reproducible model or notebook that correctly identifies the competition's digit classes, but the issue provides no repository files, tests, or target metric.

Written by the indexing model from the issue text.

Assessment

Tech stack
jupyter-notebook, machine-learning
Domain
machine-learning
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
25/100

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