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adp022021

b1-procesamiento-de-datos-con-python-2020

b2-analisis-de-datos-con-python-2020

caminos-cortos-en-grafos-con-python

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

credit-card-fraud

The datasets contains transactions made by credit cards in September 2013 by European cardholders. This dataset present transactions that occurred in two days, where we have 492 frauds out of 284,807 transactions. The dataset is highly unbalanced, the positive class (frauds) account for 0.172% of all transactions.

data-telco-customer-churn

This dataset provides information about customers of a telecommunications company and whether they churned (i.e., discontinued their services) or not. Churn is a critical business metric for telecom companies, as retaining customers is generally more cost-effective than acquiring new ones.

datasciencecoursera

datasciencecoursera

datasciencespecialization.github.io

http://DataScienceSpecialization.github.io

datasharing

The Leek group guide to data sharing

foodies-visualization

Geolocation visualization project for Foodies (a gurgaon based food chain)

global-youtube-statistics-2023

In this repository I will make a EDA about some information that we have of youtube.

jueves

Clase del jueves

littleinferencebook

A book for the coursera statistical inference class

loan-approval-prediction

The loan approval dataset is a collection of financial records and associated information used to determine the eligibility of individuals or organizations for obtaining loans from a lending institution. It includes various factors such as cibil score, income, employment status, loan term, loan amount, assets value, and loan status.

machine-learning-santander-retos

programacion-con-r-2021

programacion-con-r-santander

prototype-day-2021

Queremos encontrar territorios óptimos de distribución de nuestros productos, donde cada zona o territorio será un día especifico de entrega que concentrará toda la capacidad logística disponible, provocando una reducción de kilómetros recorridos, mejorando los tiempos de entrega y potencializando los niveles de servicio.

reto-mexico-2020

Repositorio del reto de Méxio para el BDC 2020

retos-bedu

scanalytics

Python implementation to solve Vehicle Routing problem & Master Production Scheduling in Supply Chain Analytics & Design.

spaceship-titanic

This is a similar case as the Titanic Disaste but we need to identify which of the people have been rescued from this spaceship

titanic-disaster

Titanic - Machine Learning from Disaster: use machine learning to create a model that predicts which passengers survived the Titanic shipwreck.

tsp-examples

Repository with examples of how to solve a tsp with pso, aco, ga and integer programming

videos-canal

Aquí dejo los códigos que utilizo en mis videos.

wine-quality

Classification model to Predict the Wine Quality