This is an assignment I did during the Data Science Immersive course I took at General Assembly. In this project, I practice two major skills: collecting data by scraping a website, and building a binary predictor with Logistic Regression. I collect salary information on data science jobs in Indeed.com using BeautifulSoup. Then, using the location, title, and summary of the job, I attempt to predict the salary of the job. I convert this problem into classification and use Logistic Regression to predict salaries.
The project Jupyter Notebook can be viewed by clicking this link.