This project presents an
end-to-end machine learning solution to problem of predicting salary from job offers posted
on linkedin.
This projects consists of the following steps:
- Data collection: Web-scraping script for the linkedin website
- Data preprocessing and feature engineering
- Model selection, training, and fine-tuning: Training more than 100 models using bayesian optimization to fine-tune hyperparameters.
- Model evaluation: Mlflow for comparing model performances
- Model deployment: deployment on AWS using fastapi
- Model monitoring: data quality, data drift and model performances.
