iiitl / iiitl/Linear-Regression
Dataset audit and target profile
Open
easy
exploration
good first issue
- Dominant language
- Jupyter Notebook
- Stars
- 0
- Forks
- 36
- PR merge metrics
- No merged PRs in 30d
Description
In the exploration notebook, report dataset shape, column types, missing values, duplicate rows, and basic statistics.
Plot target distribution and write 5 clear observations about data quality and target behavior.
Contributor guide
Research direction
Start with the exploration notebook and run its existing cells to identify the dataset and current analysis flow. Add the requested shape, column types, missing-value, duplicate-row, and basic-statistics reports, plot the target distribution, and finish with five clear observations about data quality and target behavior.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook
- Domain
- data, machine-learning
- Issue type
- Feature
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Quiet
- Clarity
- Mostly clear
- Newbie friendliness
- 52/100