A repository containing some experimental code for a recommender system based on my Death Metal record collection.
-
Updated
Feb 26, 2022 - Jupyter Notebook
A repository containing some experimental code for a recommender system based on my Death Metal record collection.
This repository is to test a Machine Learning deployment into Heroku. The .h5 file comes from Teachable Machines google.
I created a technology term detector web app based on BERT model using Streamlit and deployed it with Docker on Azure
repo for the data analyst salary prediction
Streamlit app to find out data science related hiring trends in a user selected city (India).
Streamlit webapp to search gravel bikes available at Decathlon
Tracker and Overview App (streamlit, apis)
Predict the case of Telco Customer Churn data set as a measure of the percentage of customer accounts that cancel by choosing not to renew their subscription (No) and continue to renew their service (YES). Measured based on actual usage or failure when getting telco service. Based on this, I will analyze churn using the Deep Learning ANN method.
End to End machine learning project on regression using cloud based deployment
I have shared multiple streamlit web apps with source code for different use cases. check out the readme file for more information
A chatbot poc using chatgpt api. Text to SQL chatbot with streamlit interface
Guess-The-Capital is a streamlit web application developed in python utilizing OpenAI's GPT API to send prompts and receive completions.
This is a Streamlit application that allows users to evaluate the implementation, effectiveness, and accessibility of digital channels and helpline services to help children be safe in their country.
Natural language processing project
Buscador de Preços de Ações com Yahoo Finance
A simple Blossom Player
SwaasthyaAI is an interactive web application built using Streamlit and powered by the OpenAI GPT-3.5 model.
this is a little demo of streamlit usage for building a web app that allows HWiNFO64 log plotting. could help with hardware diagnostics.
Streamlit widgets and function with practical examples
Add a description, image, and links to the streamlit-webapp topic page so that developers can more easily learn about it.
To associate your repository with the streamlit-webapp topic, visit your repo's landing page and select "manage topics."