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PYKT 0527

last modified May-27-2019

demo1

  • check env

demo2

  • draw y=ax+b line

demo3

  • 1 variable regression

demo4

  • 2 variables regression

demo5

  • 2 variables regression and predict

demo6

  • make_regression

demo7

  • sort by columns

demo8

  • diabetes regression

demo9

  • reshape to change/alter array size

demo10

  • view, copy and assignment

demo11

  • copy & view diff

demo12

  • draw iris

demo13

  • species V.S. petal width

demo14

  • logistic regression & cross validation

demo15

  • svc

demo16

  • svc with iris

demo17

  • svc with iris (pca)

demo18

  • simple decision tree

demo19

  • decision tree

demo20

  • decision tree iris

demo21

  • seaborn iris

demo22

  • kmean_sklearn

demo23

  • kmean manual

demo24

  • list, copy & deep copy

demo25

  • kmean sklearn (from demo23)

demo26

  • kmean(explained)

demo27

  • unsupervised nearest neighbor

demo29

  • iris with KNN

demo30

  • simple naive bayes

demo31

  • 2d plot for naive bayes

demo32

  • 3d iris

demo33

  • 2d iris

demo34

  • PCA for a matrix

demo36

  • hello tensor

demo38

  • tensor operation

demo39

  • heron using tensor-1

demo40

  • heron using tensor-2

demo41

import tensorflow as tf

demo43

demo44

jupyter-notebook demo43_explained

demo45

  • manual train_test_split

demo46

  • 5 fold

copy demo47 to demo48

demo48

  • GridSearch cross validation

copy demo47 to demo48

demo48

  • GridSearch cross validation

demo49

  • tensorflow with iris

demo50

  • softmax

demo51

  • imdb introduction

demo52

  • imdb (explained)

demo54

  • mnist dataset

demo55

  • categorical

demo57

  • reuter

demo58

  • boston

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