Salary_Prediction_End_To_End_DS_Project

Data Science Salary Estimator: Project Overview

• Scraped over 1000 job descriptions from glassdoor using python and selenium
• Engineered features from the text of each job description to quantify the value companies put on python, excel, aws, and spark.
• Built a client facing API using flask
• Deployed on flask: https://datasciencesalaryprediction.herokuapp.com/

Code and Resources Used

Python Version: 3.7
Packages: pandas, numpy, sklearn, matplotlib, seaborn, selenium, flask, json, pickle
For Web Framework Requirements: pip install -r requirements.txt

Web Scraping

Data Cleaning

EDA

Model Building

Model performance

Productionization (Deploying on heroku)