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Capstone Nanodegree Project, supervised learning regression, testing several algorithms like XGBoost

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Udacity Machine Learning Nanodegree (MLND) capstone project

2017, Jan Engelke

Dependence of the soiling rate of solar concentrators on weather parameters

Files:

  • capstone_report_udacity.pdf -------- contains the final the capstone report (right-click, save as)
  • XGBoost_DayWise_udacity.ipynb --- contains code, calculations and all plots used in the report
  • main.py and ------------------------- contains helper functions such as splits, fit/predict, scores, learning curves etc.
  • TSAPipe.py --------------------------- contains helpter plot functions like NaN plots, feature distribution plots etc.

The other files provide visualizations and were taken and modified from the MLND.

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Capstone Nanodegree Project, supervised learning regression, testing several algorithms like XGBoost

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