ACM-VIT / ACM-VIT/Good-Client-Bad-Client
STEP 3: Feature Creation
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 feature variables which are to be predicted using this model
**Function to implement**
feature_creation()
Contributor guide
No contributing guide indexed for this repository
Research direction
Start by locating the feature_creation() entry point in the notebook and reading how the model currently receives its inputs. Identify which feature variables the model is expected to predict from; done means feature_creation() defines those variables and the notebook can use them in the model workflow.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter, machine-learning
- Domain
- data, machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100