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haiddbnakfhjkclgediebmfmddpancja
haiddbnakfhjkclgediebmfmddpancja
Description from extension meta
Improve your data analysis efficiency with our extension, integrating Google Colab notebooks with ChatGPT.
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Description from store
Datalynn ChatGPT Extension for Analytics
Author: DataLynn
Overview:
This extension aims to seamlessly integrate Google Colab with ChatGPT to enhance user programming experience and boost development efficiency. It automatically reads code descriptions and code blocks from Colab, constantly ready to address user queries. The extension comes with 12 pre-configured functions (while also allowing open-ended questions), enabling GPT to add comments, refactor code, and more. If you're using Google Colab notebooks, this extension is a must-try!
About The Project:
ChatGPT for Google Colab Notebook is a utility developed by DataLynn, designed to streamline interaction between Google Colab and ChatGPT.
Getting Started:
After installing this extension, you will see a button called "ChatGPT" when accessing any Google Colab notebook. Clicking on this button will enable you to interact with the extension. Please note that if you have access to GPT-4, it will automatically connect to GPT-4; otherwise, it will connect to GPT-3.5.
This extension comes with twelve preset prompts, which are as follows:
0. Code_Comments:
Description: Add comments for each line of code and return the comment along with the corresponding code.
1. Code_Explain:
Description: Please provide a markdown-formatted explanation of the following code. This should include a detailed description of what the code does, its structure, how it works, and any notable features or functionality. Consider including examples and use cases to make your explanation clear and comprehensive.
2. Code_Refactor:
Description: Provide a refactored version of the following code to make it more efficient, readable, and maintainable. Consider optimizing for performance, following coding standards, and making the code more modular.
3. Code_Debug:
Description: Diagnose and fix any bugs in the following code. Provide a detailed explanation of what the issue was and how you resolved it, along with the updated bug-free code.
4. Features_Creation:
Description: Create more features based on the independent features of this dataset. Please provide the Python code.
5. Feature_Encoding:
Description: Perform proper feature encoding based on the feature data type and meaning. Please provide the Python code.
6. Feature_Standardization:
Description: Perform proper feature standardization. Please provide the Python code.
7. Feature_Selection:
Description: Perform feature selection on the current data. Please provide the Python code.
8. Dimension_Reduction:
Description: Perform dimension reduction on the current data. Please provide the Python code.
9. Models_Attempt:
Description: Attempt different models according to the dataset and the corresponding business problem. Please provide the Python code.
10. Models_Ensemble:
Description: Use an ensemble method to combine all models. Please provide the Python code.
11. Models_Evaluation:
Description: Evaluate the model performance on the testing set. Please provide the Python code.
Users can also customize prompts based on different code blocks. The code has already been loaded by GPT when the extension is loaded, so there is no need to read the code again.
License:
Copyright (c) 2023 DataLynn. All rights reserved. This script is the property of DataLynn and may not be reproduced or distributed without