Tercer proyecto: Visualize Data with a Heat Map el cual es requisito obligatorio para obtener la Data Visualization Certification de freecodecamp
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Updated
May 29, 2024 - JavaScript
Tercer proyecto: Visualize Data with a Heat Map el cual es requisito obligatorio para obtener la Data Visualization Certification de freecodecamp
A tool for creating heatmaps from Team Fortress 2 demos
Bioinformatic data analysis scripts and pipelines
This AutoHotkey script tracks and logs left, right, and middle mouse clicks along with the date time and their x and y coordinates. It features automatic GUI updates and generates a visual heatmap via a Python script accessible from the system tray. Ideal for analyzing user interaction and creating detailed mouse activity maps.
Create Bookmap addons using Python
FreeCodeCamp data analysis challenge: Medical Data Visualizer 📊
Heatmap visualization for Spotify listening activity using Spotify Web API
Heatmap : Open source javascript module for high performance, large scale heatmap rendering.
Made a heat map for agriculture data
Empower medical professionals and ML students with our innovative medical prediction and visualization platform, revolutionizing disease prediction for improved patient outcomes.
Data analysis and modeling (Clustering) on the Imtiaz mall electronics dataset using statistical and mathematical techniques and Python programming language.
A small library for creating pretty heatmaps of daily data.
A utility for generating heatmaps of YOLOv8 using Layerwise Relevance Propagation (LRP/CRP).
🚀 Habit Tracker: Flutter app with Isar DB, heatmap, and light/dark modes. 📅✨
Spatial and calendar heatmaps from Garmin data
Attention weight visualisation for sentiment analysis.
Vue component that visualizes mood of a whole YEAR by heatmap. Inspired by GitHub contributions heatmap.
Like Anki's Review Heatmap, but for Mochi Cards!
This project is to assess and evaluate the social performance of Cognizant by leveraging PCA algorithm. We will analyze various social parameters, including diversity and inclusion, employee well-being, retention, stakeholder engagement, and social contributions, to identify distinctive characteristics within the dataset.
Repository for the journal article 'SHAMSUL: Systematic Holistic Analysis to investigate Medical Significance Utilizing Local interpretability methods in deep learning for chest radiography pathology prediction'
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