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.

Statistical modelling and simulations of 4 & 5★ drop rates in Genshin Impact.

Interactive Streamlit dashboard visualizing recruitment data from Excel with dynamic filters and KPIs.

Treemap visualisation of Polish budget expenditures

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.

Dynamic game reports and shot charts for NBA fans and observers

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.

Restrictions on sharing as advised by DataCamp

Les mathématiques pour le Machine Learning

Github Stats Generator using Python, Plotly, Github RESTAPI, & Docker 🧡💀🧠🐈‍⬛

Learning "Plotly" Library

Repository to track Data Analysis done on various datasets available online

The "Waiter Tips Prediction Model" is a machine learning tool that forecasts waiter tips based on factors like the total bill, customer demographics, and dining specifics. It assists waitstaff and restaurants in understanding and estimating tipping patterns

I have created a bar graph using the plotly library which allows you to view the plot in a browser and I have connected directly to SQL server to pull the data.

NBA Players TOP20 community ranking analysis for dunkebdo.fr, a french podcast