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Analysis of data of students of Jain university, Bangalore

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python data-science data-analysis data-visualization machine-learning regression-models

campus-placement's Introduction

MBA STUDENTS PLACEMENT AT THE JAIN UNIVERSITY BANGALORE

Exploratory Analysis and Machine Learning on the Campus Placement Data

  • Exploratory Data Analysis
  • Visualisation of analysed data
  • Determining the characteristics affecting placement and salary
  • Insights from the data

Ride along.

Description of the dataset

The dataset used for this project contains the data of students from Jain University Bangalore

There are 215 rows and 15 columns in this dataset

The columns contained in the dataset are as follows:

  • sl_mo - Serial number or index of the rows
  • gender - Sex of the students in the dataset
  • ssc_p - Secondary school percentage
  • ssc_b - Secondary school board
  • hsc_p - Higher secondary school percentage
  • hsc_b - Higher secondary school board
  • hsc_s - Higher secondary school specialisation
  • degree_p - Degree percentage
  • degree_t - Degree type
  • workex - Work experience
  • etest_p - Employability test percentage
  • specialisation - MBA specialisation
  • mba_p - MBA percentage
  • status - Student's status(Placed or Not placed)
  • salary - Salary expectation of students

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