✅ *Useful ChatGPT Prompts to Master Data Science & Machine Learning* 📊🤖
1️⃣ *Learn Data Science Step-by-Step*
*Prompt:*
> "Create a beginner-friendly 8-week roadmap to learn data science with weekly goals, tools, and mini projects."
2️⃣ *Simplify Any ML Concept*
*Prompt:*
> "Explain logistic regression in simple words with real-life analogy, math intuition, and Python example."
3️⃣ *Data Cleaning Assistant*
*Prompt:*
> "Here's my messy dataset: [describe or paste sample]. Suggest step-by-step data cleaning and preprocessing steps in Pandas."
4️⃣ *Model Performance Debugger*
*Prompt:*
> "My model has high training accuracy but low test accuracy. Suggest possible reasons and how to fix overfitting."
5️⃣ *Visualize Like a Pro*
*Prompt:*
> "Show me 5 types of data visualizations in Python using matplotlib/seaborn and when to use each."
6️⃣ *Ask Me Data Science Interview Questions*
*Prompt:*
> "Ask me 5 entry-level data science interview questions one by one. Evaluate my answers and suggest improvements."
7️⃣ *End-to-End ML Project Guide*
*Prompt:*
> "Guide me through an end-to-end machine learning project with a real dataset (e.g., Titanic, Iris). Include data loading, EDA, modeling, and evaluation."
8️⃣ *Learn with Code + Explanation*
*Prompt:*
> "Give me a simple linear regression model in Python with detailed explanation of each line of code."
9️⃣ *Algorithm Comparer*
*Prompt:*
> "Compare Random Forest vs XGBoost — use cases, differences, advantages, and when to use each."
🔟 *Auto Data Insights*
*Prompt:*
> "Here's my dataset: [describe it]. What key insights or trends can I extract? Suggest visualizations and metrics."
💡 *Pro Tip:* Add your dataset or use built-in ones from Kaggle.
💬 *Tap ❤️ for more!*
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