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This is repository for answering Data Science Test of Just Analytics

The answer files are written in Jupyter notebooks (*.ipynb) with self-explained

In order to view and run again the result, please install Jupyter and then start it from terminal at the current directory

jupyter notebook

Library dependencies:

  • Python 3
  • Scikit Learn
  • Numpy
  • Pandas
  • Seaborn
  • Tweepy (Twitter Library)
  • XGBoost
  • Imbalanced-Learn

Those question could be found in file "Associates_in_Data_Science-_Test.docx"

The source code could be found in code folder

The result for question 5 could be found in result folder

The answers are as follow:

  • GENERAL QUESTIONS: 1_general_question.ipynb
  • DATA EXPLORATION CHALLENGE: 2_data_exploration.ipynb
  • DATA SCRAPING AND TEXT ANALYSIS: 3_data_scraping.ipynb
  • TIME SERIES ANALYSIS & FORECASTING (Not finished): 4_time_series_analysis.ipynb
  • CODING CHALLENGE – FEATURE ENGINEERING & MACHINE LEARNING: 5_credit_card_default.ipynb