dataset

The Open Energy Tracker is an open data platform for monitoring and visualizing energy policy targets.

Comment prédire le prix de vente d'une maison en fonction de ses caractéristiques ?

official implementation for the manuscript 'AI-based association analysis for medical imaging using latent-space geometric confounder correction'

Embedding Implicit Mathematical Concepts in Programming

Struggling with EDAX results that are outputted from the SEM as PDFs? These helpful scripts work to easily convert the PDF outputs to CSV formats or upload the data directly to a database.

A comprehensive repository documenting my study work on Big Data Analytics, Machine Learning, and Python, as part of my coursework at IBA Karachi. This repository includes detailed notes, code snippets, and project files, providing insights into essential concepts and techniques for data analysis, modeling, and big data processing.

Repository displaying the results of measurements of various Institute of Solar-Terrestrial Physics (ISTP) SB RAS instruments for the May 2024 geomagnetic storm

In this project, you will be provided with a real-world dataset, and you are required to implement the whole pipeline of building the data science pipeline on-premises and on-the-cloud. This includes understanding the business problem, preparing data, exploring the data, performing feature engineering, and building and deploying models

Client for interacting with YUKKA Lab Data API. https://yukka-lab-public.gitlab.io/data-api-client/

Datamart geospatial area database

Curiously enough, the only thing that went through the mind of the bowl of petunias as it fell was Oh no, not again.

Laboratorio 1

A project to develop a non-invasive, AI-powered system for detecting lung cancer associated with combustion particles and fine particulate matter (PM2.5).

This project contains data and required scripts for Propagandistic Techniques Detection in Unimodal and Multimodal Arabic Content.

An example of tabular data regression (parameter estimates) using TabNet

This project aims to develop a robust and interpretable machine learning model for early detection of cyberattacks within network systems. By analyzing network traffic data and identifying patterns associated with malicious activities, the model strives to improve network security and prevent potential cyber threats.

Дипломный проект с составлением датасета и его использованием для машинного обучения с целью кластеризации.