Khel vigānik · Khel vishleshan · Valencia

Main data nu badalda han saf aehmyate vich

Main data vishleshan te elit khel vichkar ek pul han: main karkardgi mitar nu aisi rananiti vich badalda han jo maidan te farak paudiyan han.

Project dekho Sampark

Python
R
SQL
Power BI
Machine Learning

Mere bare

Track, sarak te mukabale de sandarbh nal data

Main Mario Álvarez han, UPV vich Data Science da vidyarthi han te peshevar cycling andar vastavik tajruba rakhda han. Main data vishleshan nu elit khel karkardgi nal ralauna han, taan jo har mitar nu nateejeyan nu sudharun vali aehmyat vich badal sakeya jave.

Hor dekho

UPV

Sikhlayi

Data Science vich Degree, Universitat Politècnica de València.

Elit

Tajruba

Ik peshevar cycling team andar vastavik kamm.

Data + Sport

Pahunch

Khel karkardgi de sudhar lai lagu kita vishleshan.

Tajruba

Do duniyaan, ikko bhasha: karkardgi

Main sab ton uche padar te mukabala kita hai te aj ohi mapdand data te lagu karda han: main samajhda han ki ik khidari lai number da ki matlab hunda hai kiunki main ohi khidari reha han.

Hor dekho

ਕੰਮ

ਪրੋਜੈਕਟ

GitHub 'ਤੇ ਮੇਰੇ ਜਨਤਕ ਰਿਪੋਜ਼ਟਰੀਆਂ ਦੀ ਇੱਕ ਸਵੈਚਾਲਿਤ ਚੋਣ।

ਮਾਹਰਤਾ

HTML
Power BI
Python
R
SQL

VIS

HTML

This repository contains coursework, practical exercises, and study materials for a university data visualization course. It includes solved programming tasks using R and Python libraries like ggplot2 and Plotly, alongside practice dashboards built in Tableau.

GitHub 'ਤੇ ਦੇਖੋ

EVALUACION-DE-MODELOS-

HTML

This repository contains practical assignments for a university model evaluation course, covering topics such as cost-sensitive classification, fairness metrics on the COMPAS dataset, and model interpretability using partial dependence plots. The exercises and analyses are implemented using Python and R across Jupyter Notebooks and R Markdown reports.

GitHub 'ਤੇ ਦੇਖੋ

TRABAJO_MDP

An academic data analysis project in R that explores and characterizes a physicochemical crystal dataset. It covers data cleaning, preprocessing, and dimensionality reduction through Principal Component Analysis (PCA) using packages such as FactoMineR, factoextra, and ggplot2.

GitHub 'ਤੇ ਦੇਖੋ

TRABAJO_CORREDORES

Python

A Streamlit web application that helps manage cycling teams by scraping race and rider data from ProCyclingStats and FirstCycling to analyze upcoming events and cyclist specialties. It is built with Python using BeautifulSoup, Selenium, Pandas, and the Gemini API to process data and extract UCI points regulations from PDFs.

GitHub 'ਤੇ ਦੇਖੋ

COFIDIS

Python

Developed as an academic project, this tool scrapes UCI rankings and race data from ProCyclingStats to calculate race difficulty scores tailored to the Cofidis cycling team's calendar. It is built with Python, using Selenium and BeautifulSoup for web scraping, Pandas for data processing, and Streamlit for the interactive interface.

GitHub 'ਤੇ ਦੇਖੋ