This project analyzes global Artificial Intelligence and Machine Learning (AI/ML) job roles using data from Kaggle. The goal is to gain insights into trends, patterns, salaries, and key factors shaping the AI/ML job landscape worldwide.
To clone and run this notebook:
git clone https://github.com/ElijahWandimi/Global-Data-Roles-Salary-Exploration.git
To access it directly through Kaggle:
https://www.kaggle.com/code/elijahwandimi/global-ai-ml-salaries
The dataset used in this analysis is sourced from Kaggle and can be found here.
The notebook provides clear descriptions of the findings in every step and can be easily followed by non-programmers.
Eg;
Most of the data roles in Europe and the USA generally pay higher than those in Africa and Asia, with most managerial roles recorded in Europe and the US.
- Some tools used include pandas, matplotlib, seaborn and numpy
- Dataset by ai-jobs.net
If you'd like to contribute to this project, please follow our contribution guidelines.