ASCI-COEP / ASCI-COEP/Kaggle-Competitions

Create ML models for Petals to the Metal: Flower Classification problem

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Dominant language
Jupyter Notebook
Stars
2
Forks
4
PR merge metrics
No merged PRs in 30d

Description

**Petals to the Metal: Flower Classification**

In this competition, you’re challenged to build a machine learning model that identifies the type of flowers in a dataset of images.
[This](https://www.kaggle.com/c/tpu-getting-started) is the kaggle link which will help you to understand the problem statement and dataset more clearly.

Contributor guide

No contributing guide indexed for this repository

Research direction

Start with the linked Kaggle TPU Getting Started competition to understand the flower dataset and problem statement. The issue does not name repository files, entry points, evaluation criteria, or a definition of done, so those details need to be established before implementation can begin.

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
Needs clarification
Newbie friendliness
25/100

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