Skip to content

Latest commit

 

History

History
56 lines (37 loc) · 2.17 KB

README53.md

File metadata and controls

56 lines (37 loc) · 2.17 KB

Global University Analysis

Goal

The goal of this project is to analyse QS University Ranking.

Dataset

I have Downloaded this dataset from kaggle website. Here is the link: https://www.kaggle.com/datasets/jkanthony/world-university-rankings-202223

What Have I Done?

  • Imported all the required libraries and dataset for this project.
  • Exploratory Data Analysis and Visualizing different aspects of the dataset.
  • Finding number of observations and outliers in the dataset.
  • Plotting different attributes of the dataset.
  • Building the machine learning model.
  • Find out the best Model

Library used:

  1. numpy
  2. pandas
  3. matplotlib
  4. seaborn
  5. sklearn

Visualization and EDA of different attributes:

download

download

download

download

download

download

download

download

download

Conclusion:

  • United States is the country that comes most times in QS Ranking List
  • United States is the country that comes most times in top 100 of QS Ranking List
  • Hong Kong SAR have the maximun percentage of universities.
  • Heatmap of the data is shown.
  • Three Models are created.
  • Among the three models, the Linear Regression Model gave the best score.

Authors