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1. Autoencoder-python Autoencoder-python Public

   Explore the `Autoencoder.ipynb` notebook that demonstrates the use of an autoencoder model to predict credit risk from financial transaction data, including detailed preprocessing, model training, …

   Jupyter Notebook 2

2. Linkedin-webscraping Linkedin-webscraping Public

   This Jupyter notebook provides a detailed tutorial on how to scrape Linkedin using Python and Selenium.

   Jupyter Notebook 2

3. ChatGPT-implementation ChatGPT-implementation Public

   This Application integrates text rewriting, correction, summarization, and question-answering using OpenAI's language models directly into your computer with a user interface built on tkinter and s…

   Python 1

4. Modify-df-with-Natural-Language Modify-df-with-Natural-Language Public

   This Streamlit app allows users to upload, visualize, and modify CSV or Excel data using natural language commands, translated into python code by a custom agent powered by ChatGPT-4o. It showcases…

   Python 4

5. Query-SQL-Databases-with-Natural-Language Query-SQL-Databases-with-Natural-Language Public

   This tool uses an SQL Agent from LangChain and ChatGPT-3.5 to translate natural language queries into SQL commands. Users can modify queries, visualize data, or export it, simplifying database inte…

   Python 4