1. "Please explain the process of feature engineering and selection in a data science project using {programming language or framework} for {subject} data." 2. "Discuss the role of data visualization in understanding and interpreting {subject} data in the context of data science."3. "What are the best practices for validating and evaluating data science models analyzed by {theme} using {programming language or framework}?" 4. "Please compare various machine learning algorithms for {theme} data analysis and describe their strengths and weaknesses." 5. "How can data science techniques in {programming language or framework} be used to implement a recommender system for {topic}?" 6. "Discuss ethical considerations and potential biases in data science when working with {topic} data." 7. "Describe the process of building a custom data science tool for {topic} using {programming language or framework}, including basic functionality, functionality, and user interface design." 8. "Explain how to use a {programming language or framework} to develop an interactive dashboard for exploring and visualizing {topic} data science results." 9. "Provide a step-by-step guide to creating a reusable data science process for {topic} using {programming language or framework}, covering data preprocessing, modeling, evaluation, and visualization." 10. "Discuss key considerations when designing scalable and modular data science tools for {theme} in {programming language or framework}, including performance optimization, scalability, and collaboration features."
10 Data Science ChatGPT Prompts - Technical Engineering ChatGPT Prompt Words
May not be reproduced without permission:Chief AI Sharing Circle " 10 Data Science ChatGPT Prompts - Technical Engineering ChatGPT Prompt Words
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