A Simpel Mnist Flower's Interactive Data Visualization using Streamlit and GGPlot.
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Updated
Nov 5, 2021 - Python
A Simpel Mnist Flower's Interactive Data Visualization using Streamlit and GGPlot.
An interactive dashboard to explore analyze and visualize data with extremely, and a flask API
Objective, create an intuitive and user-friendly web-based application for visualizing and exploring NHANES data. This dashboard will enable users, including those with limited or no Python programming experience, to interact with NHANES data and generate informative visualizations to gain insights into various health-related aspects.
Performed exploratory data analysis (EDA) in python on the world happiness report datasets (for years 2015, 2016, 2017, 2018, and 2019) from Kaggle; to analyze how measurements of well-being can effectively help assess the progress of nations across the world.
Web application developed using Django. Using random forest algorithm to accurately predict car prices based on the users input.
This repository contains visualizations for covid19 data.
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