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There is always more to discover and learn about in the field of data science. This post will explore the top 10 interesting ChatGPT prompts to help you develop your abilities and knowledge in a variety of data science fields. These questions will test and motivate you, ranging from code optimization to machine learning models. These must-try ChatGPT prompts are extremely useful for automating a wide range of language-based operations, including writing, translating, summarizing, and more. You can save a lot of time by using these top 10 must-try ChatGPT prompts for data scientists.
Prompt: I'd like you to play the role of a data scientist and code for me. I have a [explain dataset] dataset. Please create a machine learning model that forecasts [target variable].
Prompt: I'd like you to operate an autonomous machine learning (AutoML) bot for me using TPOT. I'm developing a model that predicts […]. Please develop Python code to determine the best classification model on the test set with the greatest AUC score.
Prompt: I'd like you to play the role of a data scientist and code for me. I have a [explain dataset] dataset. Please create programming to visualize and explore data.
Prompt: I'd want you to play the role of a Python developer. I have a dataset with the name [name] and columns with the name [name]. [Explain the graph needs]
Prompt: I'd want you to play the role of a software engineer. Please assist me in reducing the time complexity of the code below. [Insert code here]
Prompt: I'd want you to be a code optimizer. Can you tell me what's wrong with the following panda code and how to improve it? [Insert your code here].
Prompt: I'd want you to play the role of a developer. Please write a Python regex that [explain regex] for me.
Prompt: I'd want you to serve as a code translator. Could you kindly translate the following Python code to R? [Insert code here]
Prompt: I'd want you to explain the code. What does this code do? [Insert code here]
Prompt: I'd like you to take on the role of a data science educator. Could you kindly clarify what this SQL code does? [Insert SQL code here]
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