JavaFX How To: Custom choice dialog from large table

A simple Java program to perform quantified data analysis on a very large dataset of air traffic information

Chart.js plugin for large datasets.

A large number of files about football matches since 1990 are to be cleaned and fed to the model. Then, different models are trained with the dataset, and the best performing model is selected. The hyperparameters of this model are tuned, so its performance is improved.

Experimentation on PRODIGY framework

Modeling student's knowledge over time using Riiid's EdNet dataset comprising of 100M+ student interactions. EDA and Feature Engineering was performed on the data and models were trained on important features.

A collection of custom lists created in python

This repository documents how data from three different publicly available databases (FIA DataMart, Climatology Lab, and USFS Insect & Disease Detection Survey) can be combined into one easily understandable data frame.

Dynaaminen verkkosivu-opintojakson largeData-tehtävä, react-osio

A realtime web based watching solution, akin to UNIX's tail -f command, employs Django Channels for real-time monitoring. It obviates page refreshes, efficiently streams updates, supports multiple connections, and shows the last 10 lines of the log.

Twitter tweets Data Mining practice.

NYS Traffic Tickets Issued: Four Year Window Visualization using Matplotlib, Python, Pandas, Seaborn and Tableau

Large dataset ETL of JSON and CSV files using pandas, regex, and export to SQL database

Exploration of two important strategies to make our data analysis faster and independent of the dataset size.

Road energy profile estimation based on vehicle movement historical records

This project entails conducting an exploratory analysis of the Brazil Traffic Accidents spanning from 2007 to 2023. The aim is to utilize Python for merging the records from each year, thoroughly cleansing, validating the data, and subsequently visualizing it in Tableau.

An interactive visualization that displays a large cluttered knowledge-base of Dietary Supplement data. Used the D3.js JavaScript library and Angular to develop the visualization and its animations. It allows exploring relationships of the data with ease.

Improve processing time for large data sets

The goal of this competition is to predict a neutrino particle’s direction, with a model based on data from the "IceCube" detector.