# DATA ANALYTICS CHALLENGE PRODIGY'18 — Data

来源：https://www.kaggle.com/competitions/data-analytics-challenge-prodigy18/data

本地 Meta Kaggle 快照；不是本次实时页面。

# Dataset Description

<p>Following Section Contains data to be used for Data Analytics challenge for Prodigy'18. There are 3 files down here.

 - Prodigy'18 Train data -  This is a CSV file (.csv) which participants need to use to build and train there model on. 
 - Prodigy'18 Test data -  This is a CSV file (.csv) which participants need to use to do prediction on. 

<p>A company has an internal policy of giving promotion to it's candidate through very long process. But this whole process is very time consuming and tedious. Given data in training and test set consists of info related to each individual who went through the whole process of promotion. Now, using test data participants need to predict whether or not corresponding individual is gettign promoted.

<h2>File descriptions</h2>
<ul>
<li><strong> Prodigy'18 Train data </strong> -  This is a CSV file (.csv) which participants need to use to build and train there model on, the training set</li>
<li><strong> Prodigy'18 Test data </strong> -  This is a CSV file (.csv) which participants need to use to do prediction on, the test set</li>
<li><strong>Prodigy'18 Sample Submission File</strong> - a sample submission file in the correct format</li>

<h2>Data fields</h2>
<ul>
<li><strong>is_promoted</strong>Indicator of whether employee got promoted or not and the final target value</li>
Rest of the fields are self explanatory