ASCI-COEP / ASCI-COEP/Kaggle-Competitions
Create ML models for Petals to the Metal: Flower Classification problem
- 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