How trainingbypackt/data-science-projects-with-python works
This repository is a hands-on data-science course, not a packaged application. Its user workflow is to run lesson notebooks and practice data analysis and machine learning on realistic data. The README documents exploration, visualization, preparation, model fitting, tuning, validation, and interpretation; the tree shows six lesson notebooks and two credit-default datasets. The sampled Python file is only a basic exercise, so chapter-specific ownership of the README capabilities and dataset usage cannot be established; those links are therefore not inferred.
Main entry points: Lesson01.ipynb Lesson 01 · Lesson02.ipynb Lesson 02 · Lesson03.ipynb Lesson 03 · Lesson04.ipynb Lesson 04
Components 10
Course lessons
Course data
- Cleaned credit data
Data/Chapter_1_cleaned_data.csv - Credit data workbook
Data/default_of_credit_card_clients__courseware_version_1_21_19.xls
Other components
- Learner
Connections 7
- Learner → Lesson 01: runs
- Learner → Lesson 02: runs
- Learner → Lesson 03: runs
- Learner → Lesson 04: runs
- Learner → Lesson 05: runs
- Learner → Lesson 06: runs
- Learner → Python exercise: practices with