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.
h1stats - h1 Program Stats Scraper This python3 script will call out to HackerOne's graphql API and scrape all currently active programs for informati
MIR Cheatsheet - Survival Guidebook for MIR Researchers in the Lab
Transform-Invariant Non-Negative Matrix Factorization A comprehensive Python package for Non-Negative Matrix Factorization (NMF) with a focus on learn
DenseClus is a Python module for clustering mixed type data using UMAP and HDBSCAN. Allowing for both categorical and numerical data, DenseClus makes it possible to incorporate all features in cluste
An Open Source Project from the Data to AI Lab, at MIT Website: https://sdv.dev Documentation: https://sdv.dev/SDV User Guides Developer Guides Github
Data Scientist in Simple Stock Analysis of PT Bukalapak.com Tbk for Long Term Investment Brief explanation of PT Bukalapak.com Tbk Bukalapak was found
Investigating EV charging data Introduction: Got an opportunity to work with a home monitoring technology company over the last 6 months whose goal wa
Transform application Lifecycle Data and Design and ETL pipeline architecture for ingesting data from multiple sources to redshift This project is composed of two parts: Part1 and Part2
Evidence enables analysts to deliver a polished business intelligence system using SQL and markdown
DATAWAREHOUSE ON AWS The purpose of this project is to build a datawarehouse to accomodate data of active user activity for music streaming applicatio
Backtesting the "Cramer Effect" & Recommendations from Cramer Recommendations from Cramer: On the show Mad-Money (CNBC) Jim Cramer picks stocks which
eo-grow Earth observation framework for scaled-up processing in Python. Analyzing Earth Observation (EO) data is complex and solutions often require c
udacity-api-reporting-pipeline In this exercise, you'll use portions of each of
How useful is the aswer? A Streamlit web-app for a data-science project that aims to evaluate if the answer to a question is helpful. If you want to l
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
Airflow ETL With EKS EFS & Sagemaker (en desarrollo) Diagrama de la solución Imp
Table of contents Introduction Dataset Model & Metrics How to Run Quickstart Install Training Evaluation Detection DATA COMPETITION The COVID-19 pande
A lightweight, hub-and-spoke dashboard for cross-account Data Science Projects Introduction Modern Data Science environments often involve many indepe
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
pySPEDAS pySPEDAS is an implementation of the SPEDAS framework for Python. The Space Physics Environment Data Analysis Software (SPEDAS) framework is
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