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An interactive Dash application providing in-depth analysis of global mental health trends, leveraging advanced data science and visualization techniques. Designed for insightful exploration of the prevalence and impact of mental disorders.
This dashboard is a tool that shows the prevalence and patterns of mental health illness as well as the related health care service based on county-level data among the United States. It also compares the public interests in mental health with the data from Google Search Trends.
Published in GigaScience. Web app for post-GWAS/QTL analysis that performs a slew of novel bioinformatics analyses to cross-reference GWAS/QTL mapping results with a host of publicly available rice databases
Sales Analysis - Sprocket Central Pty Ltd: This repository presents an in-depth analysis of sales data for Sprocket Central Pty Ltd. Discover key trends, best-selling products, optimal advertising timing, and actionable recommendations for growth. The interactive dashboard provides comprehensive visualizations, empowering stakeholders.
The Supermarket Sales Dashboard offers a concise overview of sales performance, featuring key metrics and detailed analyses by product, category, and time period. Interactive filters enable data-driven decisions to improve profitability and efficiency.
A data analytics project for exploring housing prices in King County, WA. Compare city and countryside properties with an interactive app and gain detailed insights into real estate market trends.
This project develops a Power BI dashboard to analyze home loan data, providing insights into loan applications, sanctions, disbursements, and recoveries. It helps financial institutions optimize loan processes and improve recovery strategies through data-driven decision-making.
An interactive dashboard visualizing public sentiment and perceptions on American politics and the future of democracy, based on August 2018 survey data.
Explore global CO2 emissions and climate change data through an interactive Python dashboard built with Panel. Analyze the complex relationship between emissions, GDP, and more. Visualize insights, gain perspective, and contribute to the ongoing climate conversation.
Leader Board App is an interactive web application designed to dynamically display and manage leaderboards for games and competitions. This repository contains all the necessary code and resources to set up and customize your leaderboard, providing a real-time, responsive interface for both administrators and viewers.
This is the seventh project for the AI engineering master. The main goal is to develop a highly robust model, capable of automatically classifying flowers with the best possible F1-score (macro) on the test dataset. I need to use techniques such as data augmentations, transfer learning with PyTorch's timm library, YOLO for detections
Analyzing customer churn within an online e-commerce company using exploratory data analysis to derive actionable insights and formulate strategic recommendations.