ACM-VIT / ACM-VIT/Good-Client-Bad-Client
STEP 8: Define, Fit and Predict!
Open
good first issue
hacktoberfest
helper issue
- Dominant language
- Jupyter Notebook
- Stars
- 20
- Forks
- 7
- PR merge metrics
- No merged PRs in 30d
Description
**Task**
- Define the ml model that you will be using in this project.
- Run the model on training data (Fitting)
- Predict outcomes using fitted model
Contributor guide
No contributing guide indexed for this repository
Research direction
The issue names no file, notebook, dataset, model, or test to start from. Read the repository structure first, then define a model, fit it on training data, and verify that it produces predictions.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100