Streamlit ChatGPT-3 VA
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Updated
Mar 19, 2024 - Python
Streamlit ChatGPT-3 VA
A streamlit webapp for Image Classification using Google's Teachable Machine and deployed on Heroku & Azure
This project gave an overview of the Stock marker highlights for Exxon Mobil Company.
🚗 Car price prediction using machine learning. Demo app built with Streamlit for easy interaction.
An application for clustering keywords in polish based on text morphology or semantic connections.
My version of SP 500 data analyzer
This is a repository which hosts my question answering engine which answers questions and extracts information using the CORD dataset and uses BERT NLP model
This streamlit app provides an object and method filter which allows the users to quickly get to the app functionality they are interested in.
End to End machine learning project on classification using cloud based deployment
Detection of hate messages in Youtube video comments with NLP and ML ensemble algorithms. Deployment of the ML trained model in a Streamlit application.
Using an LLM to answer math word problems common in IRL. Program aided language modeling.
This application provides comprehensive assistance across different domains, from chat to nutrition and ATS.
Extracting the data from phone pe pulse and geo-visualization providing clear cut insights and core business areas and giving a comprehensive and user-friendly solution
Deep-Learning-Optimization-Algorithms-Streamlit-Application
The repository attempts to use `streamlit` to build a website to visualize the data. The `index.html` is used for wrapping the website under the assignment requirement.
This Streamlit app allows you to explore salaries in the data science domain based on user input. It is designed to help you understand how different factors, such as location, experience, and employment type, impact salaries in the field
This project is a machine learning application that uses natural language processing techniques to analyze text data and predict the emotions expressed within the text. The application is built using Python and several machine learning libraries, deploy through StreamLit
Demo Streamlit app to show stock price charts of a given company between specific dates.
Domain : Manufacturing | Predicting Selling Price and Status(Won or Lost) using Regression and Classification Models
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