MUTHUKUMAR R's Projects
This project is to develop a machine learning model and deploy it as a user-friendly web application that predicts the resale prices of flats in Singapore.
In This project aims to analyze Airbnb data, perform data cleaning and preparation, develop interactive geospatial visualizations and suing for MySql , availability patterns, and location-based trends with help of Streamlit app.
Extracting the image by using easyOCR and Create a user interface app using Streamlit.
The project aim is to build a machine learning model that offers users to find current valuations for used cars.
I imported the JSON file and ran the concept; the output was displayed.
Project will analyze energy usage and greenhouse gas (GHG) emissions of Ontario's Broader Public Sector (BPS) organizations, leveraging a comprehensive database of reported data.
In this project Utilizing advanced time series forecasting models, successfully predicted department-wide sales for each store for the upcoming year and Visualizing the data in streamlit GUI.
Using the Hugging Face API, I am developing a text-to-image converter.
The project aim is to analyze the dataset using Power Bi, The dataset is related to IMDB Movies.
In this project will equip with practical skills and experience in data analysis, machine learning modeling, and creating interactive web applications using Streamlit, and provide you with a solid foundation to tackle real-world problems in the manufacturing domain.
Config files for my GitHub profile.
Creating a dashboard by using streamlit application. in this app visualizing the data taken from Phonepe pulse Github repository.
Create a simple and intuitive user interface using Streamlit, From the youtube getting and extracting the data by using API key. That data stored in database.
In This project aims to develop a user-friendly Streamlit application that utilizes the Google API to extract information on a YouTube channel, stores it in a MongoDB database, migrates it to a SQL data warehouse, and enables users to search for channel details and join tables to view data in the Streamlit app.