Assignment Details:
Think of the difference between Supervised and
Unsupervised as having supervising entity letting you know if you are
making the right decisions, or not in the case of supervised. The
opposite would be true of unsupervised learning. Supervised learning may
benefit from label classifications of data such as flowers (roses,
tulips, carnations, etc.). Where unsupervised may not have a
classification to benefit from as the answer to the question may be the
aim.
Using the provided dataset
that represents the Titanic disaster, create both an unsupervised
clustering algorithm to describe the data and a simple supervised
classification prediction to determine who might survive. Implement your
algorithms in Python.
Submit 2 Python files with roughly 50-80 lines of code each and 1 MS Word document (or Jupyter Notebook).
- Code file must include a file header that includes the following
information at a minimum: Your name, date, course, and description of
the code. - Code must be well-commented and in your own words. Explain your decisions and what the code is doing.
- Code should adhere to best practice code standards.
- Capture and record results and screenshots in a Word document.
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