Kaggle data set HR Analytics: Job Change of Data Scientists (XGBoost)

1. Data set introduction
   A company engaged in big data and data science wants to hire data scientists from people who have successfully passed their courses. There are many people who sign up. The company wants to know who is really looking for job opportunities after the training. After the candidates register, they can get demographics, education, experience and other related information. Use this information to build a model to predict whether the candidate is looking for a new job or will stay with the current company.
   Features:
   enrollee_id: Unique ID for candidate
   city: City code
   city_ development _index: Developement index of the city (scaled)
   gender: Gender of candidate
   relevent_experience: Relevant experience of candidate
   enrolled_university: Type of University course enrolled if any
   education_level: Education level of candidate
   major_discipline :Education major discipline of candidate
   experience: Candidate total experience in years
   company_size: No of employees in current employer's company
   company_type: Type of current employer
   lastnewjob: Difference in years between previous job and current job
   training_hours: training hours completed
   target: 0 – Not looking for job change, 1 – Looking for a job change

2. Data exploration and visualization

3. Data preprocessing

4. Modeling