TODO

[beevabeeva]

TODO

• Important
  • Decision Trees
  • Check Niambh Bayes
  • Experiment on different feature sets and compare with recommendations
  • Covariance categorical: http://www.suri.cs.okayama-u.ac.jp/~niitsuma/e/covEigGiniRep17.pdf
    • categorical intuition: https://www.youtube.com/watch?v=zLHunbpH5Hg
• Extra
  • Try Logistic Classifier
  • Neural Network
• Report
  • Main insights from contingency tables
  • If LaTeX copy benjis format: https://www.benjaminrosman.com/papers/comshons07.pdf
  • Give reasons for basis functions chosen, decisions, justify methods
  • Try different basis functions maybe
  • Compare models with scikit Learn implementations - discuss differences
  • Go through "Applying Machine Learning" tut for report
  • Visualisations and graphs
    • contingency tables
    • maybe bar graphs : see
      • this one guy's mushroom analysis: https://datascienceplus.com/mushrooms-classification-part-1/
      • https://stats.stackexchange.com/questions/125611/quick-exploratory-analysis-of-categorical-data
    • Very useful (for non categorical/one-hot encoded datasets) https://machinelearningmastery.com/quick-and-dirty-data-analysis-with-pandas/
    • Scatter plot matrix: https://plot.ly/python/scatterplot-matrix/
    • ggparallel thing in R: https://github.com/heike/ggparallel
    • MCA python package: http://vxy10.github.io/2016/06/10/intro-MCA/ and https://github.com/esafak/mca/blob/master/docs/usage.rst
    • Better MCA package: https://github.com/MaxHalford/Prince
    • Parallel coordinate plot https://stackoverflow.com/a/16907551
    • Parallel Coordinate plot nice http://benalexkeen.com/parallel-coordinates-in-matplotlib/
  • Use http://webdemo.myscript.com/views/math.html# for quick LaTeX formulas
  • Mention using decision tree as PCA and for doing dimensionality reduction
  • Mention our results vs suggested results/ variables to use , that the data set suggested
  • Try doing the tree or other thing without odor
  • Write "use your crayons" on plots
  • Mushroom diagrams and stuff: https://www.usask.ca/biology/fungi/glossary.html