The dataset contains job postings from Glassdoor.com from 2017-2018, your task is to predict avg_salary based on the other features.

## Files

*   **train.csv** - the training set
*   **test.csv** - the test set
*   **sample_submission.csv** - a sample submission file in the correct format

## Columns

*   `id` - The unique identifier for the job posting
*   `avg_salary` - Average salary for this listing (target)
*   `job_state` - The state where the job is located
*   `same_state` - A binary indicator of whether the job is in the same state as the person looking at the job
*   `age` - The age of the person looking at the job
*   `python_yn` - A binary indicator of whether the person looking at the job knows Python
*  `R_yn` - A binary indicator of whether the person looking at the job knows R
*   `spark` - A binary indicator of whether the person looking at the job knows Spark
*   `aws` - A binary indicator of whether the person looking at the job knows AWS
*   `excel` - A binary indicator of whether the person looking at the job knows Excel