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co2-dashboard-d3

A comprehensive dashboard with map, piechart and barchart visualizing CO2 emissions built using d3

covid-charts

A collection of JavaScript-based data visualization tools and data for depicting spread of the COVID-19

data

Data and code behind the articles and graphics at FiveThirtyEight

data-visualization

"Analytics and Reporting Dashboard - Data visualization using JavaScript(React.js) and Highcharts.js library",

diabetes-disease-prediction-project

This project aims to predict the type 2 diabetes, based on the Pima Indian Dataset. It uses Machine Learning model, which is trained to predict the diabetes mellitus before it hits. This is an end to end machine learning model.

diabetes-mellitus-prediction-classifier

Built models to determine whether a patient admitted to an ICU has been diagnosed with a particular type of diabetes, Diabetes Mellitus. Using data from the first 24 hours of intensive care

diabetes-prediction

Diabetes Mellitus is an increasingly prevalent chronic disease characterized by the body’s inability to metabolize glucose. The objective of this prediction was to build an effective predictive model with high sensitivity and selectivity to better identify Canadian patients at risk of having Diabetes Mellitus based on patient demographic data and the laboratory results during their visits to medical facilities.

global-terrorism-visualization-and-analysis

Interactive dashboard displaying various trends and analysis using Global Terrorism dataset. The visualizations and interactive features are created using D3.js, Plotly and Amcharts.

gridstack-highcharts

A Javascript tutorial for making a dashboard with data visualization (charts!) using gridstack.js and Highcharts in five minutes flat.

javascript-crytpo-dashboard

predicting-energy-consumption-london

real_time_dashboard

Python+JavaScript (flask/socket.io/d3.js/Google Maps API)

retail-machine-learning

Using Python, Javascript, Postgres and HTML built a retail dashboard containing interactive visualization and forecast generated by Facebook Prophet and other machine learning models. Grocery recommendation system uses k-means clustering and the surprise algorithm

test