Análisis de texto y visualización de datos con R, de conversaciones de WhatsApp, primer parte. Uso de librería rwhatsapp.

📊 Usage examples of javafx dataviewer - https://github.com/jasrodis/javafx-dataviewer-wrapper

The web dashboard for the world's largest crowdsourced network of open-source, low-cost, CO2 Gas Detection Sensors.

Análisis de sentimientos y visualización de datos con R, de conversaciones de WhatsApp, segunda parte. Uso de librería rwhatsapp.

Benchmark for some usual automated machine learning, such as: AutoSklearn, MLJAR, H2O, TPOT and AutoGluon. All visualized via a Dash Web Application

Network Protocol Analyzer & Deshboard (Cyber Security)

Districtwise CSV files for NFHS-5 and NFHS-4

Explore scalable Plotly Dashboards with dynamic capabilities. Organized structure for multiple dashboards, each with Plotly graphs and algorithms. Share common components and utilities for efficient development.

We aim to forecast precipitation and temperature for the next 2-3 hours in Nepal using past meteorological data (e.g., humidity, temperature, wind speed). Numerical weather forecasting's high computational demands challenge agriculture and flood management. To address this, we use LSTM techniques for optimal solutions.

This js implementation may be the smallest source code for a useful chart to date (to my knowledge)! The World smallest chart plots only positive values, namely it takes values from zero up to an upper bound. The projects in this repository show two js charts and both use the HTML5 canvas object.

Trying to create AMU own version of Virtual Lab

Data analysis of covid-19 and SEIRD model implementation.

All the basic ml things

Github Data scraping and EDA

Este projeto consiste em uma aplicação Python para extrair dados de municípios brasileiros do Instituto Brasileiro de Geografia e Estatística (IBGE) e dados de casos de dengue do sistema InfoDengue. Os dados são então transformados e carregados em um banco de dados PostgreSQL para análise posterior e criação de um dashboard.

Dashboard with python, flask

Olympics data analysis is a web application based on streamlit framework. The primary objective of this paper is to analyze the Olympic dataset using python to compare overall performance of countries and to evaluate the contribution of each country in the Olympics.

GooglePlay Apps and User Review Analysis