The objective of this competition is to develop predictive models that accurately estimate the average salary for job listings based on a diverse set of features extracted from Glassdoor job postings spanning the years 2017-2018. Participants are challenged to leverage their data science and machine learning skills to create models that provide valuable insights into salary expectations for job seekers and assist employers in offering competitive compensation packages. Competitors will be evaluated based on their ability to minimize the Mean Absolute Error (MAE) when predicting salaries. Join this competition and demonstrate your data science prowess in the realm of job market analytics!