This project is for analyzing a set of data about people who have won the Nobel Prize in different fields and different countries over several years. I used in this project:
During analyzing process i got a lot of information about nobel dataset and i make a visualization for helping in understand the results better.
PCAfold is an open-source Python library for generating, analyzing and improving low-dimensional manifolds obtained via Principal Component Analysis (PCA).
Damast This repository contains code developed for the digital humanities project "Dhimmis & Muslims – Analysing Multireligious Spaces in the Medieval
StDashApp Stock Analysis Dashboard Using Streamlit and Python If you found the content useful and want to support my work, you can buy me a coffee! Th
Processo de ETL (extração, transformação, carregamento) realizado pela equipe no projeto final do curso da Soul Code Academy.
PyLHC Tools This package is a collection of useful scripts and tools for the Optics Measurements and Corrections group (OMC) at CERN. Documentation Au
TennisBusinessIntelligenceProject - A project consists in a set of assignements corresponding to a BI process: data integration, construction of an OLAP cube, qurying of a OPLAP cube and reporting.
opendrift OpenDrift is a software for modeling the trajectories and fate of objects or substances drifting in the ocean, or even in the atmosphere. Do
udacity-api-reporting-pipeline In this exercise, you'll use portions of each of
A feature store is a data storage system for data science and machine-learning. It can store raw data and also transformed features, which can be fed straight into an ML model or training script.
IndexNumCalc Calculate multilateral price indices using the GEKS-T (CCDI), Time Product Dummy (TPD), Time Dummy Hedonic (TDH), Geary-Khamis (GK) metho
fly2p Tools for analyzing two-photon (2p) imaging data collected with Vidrio Scanimage software and micromanger. Loading scanimage data relies on scan
Pingouin is an open-source statistical package written in Python 3 and based mostly on Pandas and NumPy. Some of its main features are listed below. F
Tuplex is a parallel big data processing framework that runs data science pipelines written in Python at the speed of compiled code. Tuplex has similar Python APIs to Apache Spark or Dask, but rather
Kaggle-2019-Data-Science-Bowl-Solution - Here i present my solution to kaggle 2019 data science bowl and how i improved it to win a silver medal in that competition.
Allen Institute Visual Behavior Analysis package This repository contains code for analyzing behavioral data from the Allen Brain Observatory: Visual
cleanX CleanX is an open source python library for exploring, cleaning and augmenting large datasets of X-rays, or certain other types of radiological
Visualize ICLR 2022 OpenReview Data
Stitch together Nanopore tiled amplicon data using a reference guided approach Tiled amplicon data, like those produced from primers designed with pri
xwrf A lightweight interface for reading in output from the Weather Research and Forecasting (WRF) model into xarray Dataset. The primary objective of
PyIOmica (pyiomica) This repository contains PyIOmica, a Python package that provides bioinformatics utilities for analyzing (dynamic) omics datasets.
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