Hu9o73/Phishing-Email-Detection

Analysis of the dataset

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#4 opened on Sep 24, 2025

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Description

Conduct an analysis of the dataset, using the informations menu.

When committing, remember to respect naming conventions. Note that commits will be squashed upon merge, so only the first commit's name really matters.

Contributor guide

Research direction
Load the dataset using pandas and use the info() method to explore the data, noting column types and missing values.
Tech stack
python
Domain
datamachine learning
Issue type
Research
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
1
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
Under 1 hour
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
Fresh
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Clear
Prerequisites
Pythonpandas
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
90