Kaggle - Job Salary Prediction

This repo contains sample code for the Job Salary Prediction, hosted by Kaggle with Adzuna.

Instructions

This repo contains sample code for the Job salary prediction bvased on Title, Job desciption, Raw location and Normalized location Data set used for the project is Job Salary Prediction

• Suggested to try the project by creating a virtual environment

  python -m venv env_jobsalarypred
  

• Activate the virutal environment
• Install the dependencies using the command

  pip install -r requirements.txt 
  

To run the benchmark,

1. Download the data
2. Modify SETTINGS.json to point to the training and validation data on your system, as well as a place to save the trained model and a place to save the submission
3. Train the model by running python src/train.py
4. Make predictions on the validation set by running python src/predict.py
5. To run the streamlit app streamlit run src/app.py
6. After 5 open the Browser if you are running in local machine or go to step 7
7. Check the job salary prediction webapp

This benchmark took approximately 0.5 hours to execute on a Windows 10 laptop with 12GB of RAM and 8 cores at 2GHz.