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EDA and predictions on salary in usd for professionals in the data science field

Home Page: https://www.kaggle.com/code/lusfernandotorres/job-salaries-eda-and-predictions

Jupyter Notebook 100.00%
data-science data-visualization dataanalysis datanalytics eda exploratory-data-analysis exploratory-data-visualizations kaggle pycaret pycaret-library

data-science-job-salaries-eda-and-predictions-with-pycaret's Introduction

๐Ÿง‘โ€๐Ÿ’ป Data Science Job Salaries | EDA and Predictions with PyCaret ๐Ÿ“ˆ

Important note

This notebook has a lot of interactive visualizations that aren't displayed on GitHub!

Please, click here to see this notebook on Kaggle, the way the author intended it to be seen.

About

This notebook is a study on the Data Science Job Salaries dataset, containing information on salary, company size and location, remote work, employee location, and many other related to people working in the Data Science field throughout the world.

The goal of this notebook is to do an EDA on the data, trying to understand how the feature salary in usd relates to other features and try to understand their relevance when it comes to achieving higher yearly earnings.

After doing an EDA, I've used PyCaret regression lib to predict employee salaries in usd according to the features analyzed in the dataset.

Libraries used

  • Pandas
  • Numpy
  • Plotly
  • Pycaret

Author

Luรญs Fernando Torres

data-science-job-salaries-eda-and-predictions-with-pycaret's People

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