A simple Data science project on Predicting Student's dropout using Machine Learning classification models
This project is a progressive web application (PWA) built using Svelte, a modern JavaScript framework. It leverages the Pokémon API to provide a comprehensive and engaging Pokédex experience, data persistence with LocalStorage, the SpeechSynthesis API for listening to descriptions, and Plotly charts.
Treemap visualisation of Polish budget expenditures
Interactive Streamlit dashboard visualizing recruitment data from Excel with dynamic filters and KPIs.
Online visualizer of Plotly.js graphs in JSON format
An 18-year-old student with way too much free time is about to dive into developing an interactive stock market dashboard using Python (Streamlit, Plotly, yfinance) — a tool designed to visualize real-time market trends, analyze individual stocks, compare performance, and calculate key technical indicators... Work in progress !
Restrictions on sharing as advised by DataCamp
Project compares three regression models for predicting the amount of gold recovered from gold ore in order to optimize gold production and eliminate unprofitable parameters. Data provided by Zyfra.
Dynamic game reports and shot charts for NBA fans and observers
Based on a dataset of over 8,000 speed dates and 195 columns : Understand what makes people interested into each other. Deal with a dataset with a very large number of features.
OpenClassrooms parcours Data Analyst Projet 6
NBA Players TOP20 community ranking analysis for dunkebdo.fr, a french podcast
OpenClassrooms parcours Data Analyst Projet 9
In this repository, it will be assumed the job of a data analyst where it has been given a task to monitor and report US domestic airline flights performance. The goal is to analyze the performance of the reporting airline to improve fight reliability thereby improving customer reliability.
Projetos focados na aplicação de técnicas de visualização para análise e comunicação de dados que foram desenvolvidos na cadeira Visualização de Dados do 2o semestre de 2023/2024 do 3o ano da Licenciatura em Engenharia e Ciência de Dados
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