Analyze and Predict the Salary of Machine Learning Workers
Project description: More intellectual workers start to learn or even apply machine learning algorithms to solve their business problems. It’s interesting to find out how value what we learned is and which theme of machine learning is paid best. Project responsibility: 1. Analyzed and sorted out the data sets of the salary questionnaire for machine learning workers on Kaggle, and conducted data cleaning. 2. Extracted the questionnaire of "the most frequently used algorithm in a work" as the data characteristics. 3. Used the LASSO and RLS regression algorithm to predict the salaries of machine learning workers in different fields. 4. Used PCA algorithm to reduce the data and try to use different data features to get better fitting results. 5. Integrated the analysis results into PPT.