Skip to content
View Ecurus's full-sized avatar
🎯
Focusing
🎯
Focusing

Block or report Ecurus

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
Ecurus/README.md

This is the problem of a Shinkansen (Bullet-Trains) of Japan. They aim to determine the relative importance of each parameter with regards to their contribution to the passenger travel experience. Provided is a random sample of individuals who travelled using their train. The on-time performance of the trains along with the passenger’s information is published in the CSV file named ‘Traveldata_train’. These passengers were later asked to provide their feedback on various parameters related to the travel along with their overall experience. These collected details are made available in the survey report CSV labelled ‘Surveydata_train’.

In the survey, a passenger was explicitly asked whether they were delighted with their overall travel experience and that is captured in the data of the survey report under the variable labelled ‘Overall_Experience’.

The objective of this exercise is to understand which parameters play an important role in swaying passenger feedback towards a positive scale. You are provided test data containing Travel data and Survey data of passengers. Both the test data and the train data are collected at the same time and belong to the same company.

Pinned Loading

  1. HR_Attrition HR_Attrition Public

    Jupyter Notebook

  2. AnanyaDas_silver-waddle AnanyaDas_silver-waddle Public

    Jupyter Notebook

  3. Ecurus Ecurus Public

    Config files for my GitHub profile.

    Jupyter Notebook

  4. Old_Car_Price Old_Car_Price Public

    Jupyter Notebook

  5. Socioeconomic-seggregation Socioeconomic-seggregation Public

    Jupyter Notebook

  6. shyam-sartanpara-volopay/todo-app shyam-sartanpara-volopay/todo-app Public

    Ruby

pFad - Phonifier reborn

Pfad - The Proxy pFad of © 2024 Garber Painting. All rights reserved.

Note: This service is not intended for secure transactions such as banking, social media, email, or purchasing. Use at your own risk. We assume no liability whatsoever for broken pages.


Alternative Proxies:

Alternative Proxy

pFad Proxy

pFad v3 Proxy

pFad v4 Proxy