SP_Notes_PY

This repo will be a collection of notes and revision- Python centered This will be broken up into the following structure:

Python Notes

• GeneralPythonNotes

  • Quick Python reminder
  • Going through arrays, list, dict, tuples (tuple unpacking)
  • Slices,Split, Upper, Lower, comparison operators
  • IF's, Loops, Functions, Map, Lambda,Checking contents of a list

• NumPy-Arrays

  • Run through of NumPy, creating arrays (1-D and 2-D)
  • arange, zeros, linspace, identity matrix (eye), random, randn, randint
  • reshape, min, max, argmax, argmin, shape, reshape, dtype

• NumPy-Indexing

  • Focuses on indexing and Selection
  • Runs through creating arrays with NP and using slice
  • Broadcasting NumPy arrays (and the differencing between doing this on a slice and a copy)
  • Indexing a 2-d array (single and doube bracket format, getting chunks,boolean array

Machine Learning Related

• KNNTest

  • Followed tutorial on https://www.youtube.com/watch?v=CQveSaMyEwM for KNN using SciKit-Learn
  • Importing data into an array, looking at feature and target names, using (Pandas, MatPlotLib, NumPy)
  • Splitting test and training data, running knn.fit() and picking a k-number
  • Evaluating classifier accuracy, plotting confusion_matrix (and making it look good with matplotlib and seaborn) and classification_report

• KNN_Exercise1_Digits

  • Exercise i attempted from a brief using the digits dataset using SciKit-Learn for KNN
  • Completed and written up step-by-step