Use case 01
You are starting a supervised ML project and need strong first feature ideas.
Data ScientistFeature EngineeringBeginnerSingle prompt
Feature Ideas Generator AI Prompt
This prompt helps brainstorm high-value engineered features before you start coding. It is especially useful when you have a decent understanding of the target but want structured, model-oriented ideas rather than random transformations. The goal is to surface features with a realistic chance of improving signal while keeping build effort visible.
Prompt text
Suggest 15 new features I could engineer from this dataset to improve predictive power for {{target_variable}}.
For each feature:
- Feature name
- How to compute it (formula or logic)
- Why it might help the model
- Estimated difficulty to build: Easy / Medium / Hard
Cover these types:
- Interaction features (multiplication or ratio of two existing columns)
- Aggregation features (rolling mean, cumulative sum, group-by statistics)
- Date/time decompositions if a date column exists
- Lag features if data is time-ordered
- Domain-specific features based on the apparent business context
Prioritize features that are likely to have the highest signal-to-noise ratio.When to use this prompt
Use case 02
You want to go beyond raw columns without overengineering too early.
Use case 03
The dataset may contain dates, groups, time order, or business context worth exploiting.
Use case 04
You want a prioritized shortlist before building a feature pipeline.
What the AI should return
A ranked list of 15 candidate features with feature name, exact computation logic, expected modeling value, estimated implementation difficulty, and brief notes on why each feature could help predict the target.
How to use this prompt
1
Open your data context
Load your dataset, notebook, or working environment so the AI can operate on the actual project context.
2
Copy the prompt text
Use the copy button above and paste the prompt into the AI assistant or prompt input area.
3
Review the output critically
Check whether the result matches your data, assumptions, and desired format before moving on.
4
Chain into the next prompt
Once you have the first result, continue deeper with related prompts in Feature Engineering.
Frequently asked questions
What does the Feature Ideas Generator prompt do?+
It gives you a structured feature engineering starting point for data scientist work and helps you move faster without starting from a blank page.
Who is this prompt for?+
It is designed for data scientist workflows and marked as beginner, so it works well as a guided starting point for that level of experience.
What type of prompt is this?+
Feature Ideas Generator is a single prompt. You can copy it as-is, adapt it, or use it as one step inside a larger workflow.
Can I use this outside MLJAR Studio?+
Yes. The prompt text works in other AI tools too, but MLJAR Studio is the best fit when you want local execution, visible Python code, and reusable notebooks.
What should I open next?+
Natural next steps from here are Date Feature Extraction, Embedding Features from Text, Feature Selection.