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Data Science & ML Prompts

Data science and ML prompts help you explore datasets, engineer features, choose and evaluate models, debug training, and explain results with AI. Describe your data and goal, and ChatGPT, Claude, or Gemini returns analysis plans, code, and clear interpretations.

Model:

Level:

EDA Plan Generator

GPT-4o

Data Science & MLIntermediate

Create a systematic exploratory data analysis plan

Create an EDA (Exploratory Data Analysis) plan for this dataset. Dataset: {{dataset_description}} Target variable: {{target_variable}} Business goal: {{business_goal}} Generate a step-by-step EDA no…

ML Model Selection Guide

Claude

Data Science & MLAdvanced

Choose the right ML algorithm for your specific problem

Recommend the best ML approach for this problem and explain your reasoning. Problem: {{problem_description}} Data: {{data_description}} Constraints: {{constraints}} For the top 3 recommended approac…

Plan an Exploratory Data Analysis

Universal

Data Science & MLIntermediate

Structure your EDA

I have a dataset (`{{dataset}}`) and this goal: {{goal}}. Give me a step-by-step EDA plan: what to check (missingness, distributions, outliers, correlations, target balance), which plots to make, and …

Suggest Feature Engineering

Universal

Data Science & MLIntermediate

Improve model inputs

Given these features: {{features}} and target: {{target}}, suggest feature-engineering ideas (transformations, interactions, encodings, aggregations, date/text features). For each, explain the intuiti…

Choose the Right ML Model

Universal

Data Science & MLIntermediate

Pick a model for a task

For this task: {{task}} with data size {{data_size}} and constraints {{constraints}}, recommend 2-3 candidate models. For each, give pros/cons, when it wins, and the right evaluation metric. Recommend…

Choose Evaluation Metrics

Universal

Data Science & MLIntermediate

Measure a model correctly

For this ML task: {{task}} (context: {{context}}), which evaluation metrics should I use and why? Explain what each captures, the pitfalls (e.g. accuracy on imbalanced data), and how to choose a decis…

Diagnose Overfitting/Underfitting

Universal

Data Science & MLAdvanced

Fix poor generalisation

My model ({{model}}) shows: {{symptoms}}. Diagnose whether it's overfitting or underfitting, explain the evidence, and give a prioritised list of fixes (regularisation, more data, features, capacity, …

Handle Imbalanced Data

Universal

Data Science & MLAdvanced

Train on rare-class data

My classification data is imbalanced ({{ratio}}) for {{task}}. Recommend techniques (resampling, class weights, threshold tuning, anomaly framing) ranked for this case, the right metrics (PR-AUC, reca…

Check for Data Leakage

Universal

Data Science & MLAdvanced

Catch leakage before it bites

Audit this ML setup for data leakage. Pipeline: {{pipeline}}. Features: {{features}}. List every place leakage could enter (target leakage, train/test contamination, preprocessing before split, time l…

Design a Cross-Validation Strategy

Universal

Data Science & MLIntermediate

Validate reliably

Recommend a cross-validation strategy for {{data_type}} data and task {{task}}. Choose between k-fold, stratified, group, and time-series splits, justify it, and explain how to avoid leakage and get a…

Plan Hyperparameter Tuning

Universal

Data Science & MLAdvanced

Tune a model efficiently

Plan hyperparameter tuning for {{model}} within compute budget {{budget}}. Identify the highest-impact hyperparameters, choose a search method (grid/random/Bayesian), set ranges, and define the valida…

Explain a Model to Stakeholders

Universal

Data Science & MLIntermediate

Communicate results clearly

Explain my model ({{model}}) and its results to {{audience}} who aren't ML experts. Cover what it predicts, how well it works (in business terms), its limitations and risks, and what decisions it shou…

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Frequently Asked Questions

How can ChatGPT help with data science?

Use prompts to plan an EDA, suggest features, pick suitable models and metrics, debug a training loop, or explain a result to stakeholders. Each prompt asks for reasoning, not just code, so you learn as you go.

Can AI help me pick the right ML model?

Yes — describe your task, data size, and constraints, and the model recommends candidates with trade-offs and the right evaluation metric (e.g. PR-AUC for imbalanced data).

Are these prompts free to use?

Yes, all free and model-agnostic.

Prompt Tools & Guide

Prompt Engineering Guide

Learn prompting step by step — zero-shot to RAG and security.

Prompt Formatter

Format prompts into OpenAI JSON, Markdown, XML, or plain text.

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Estimate token count and API cost for GPT, Claude, and Gemini prompts.

AI API Cost Calculator

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Last reviewed on June 13, 2026 by the AiTechWorlds AI Team. Free to use — no signup required.

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Last reviewed on June 13, 2026 by the AiTechWorlds AI Team. Free to copy — works with ChatGPT, Claude, and Gemini.

AiTechWorlds

Frequently Asked Questions

How can ChatGPT help with data science?

Can AI help me pick the right ML model?

Yes — describe your task, data size, and constraints, and the model recommends candidates with trade-offs and the right evaluation metric (e.g. PR-AUC for imbalanced data).

Are these prompts free to use?

Yes, all free and model-agnostic.