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ML.txt
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77 lines (47 loc) · 966 Bytes
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{% comment %} Feature {% endcomment %}
-attributes
-input to machine learning
-independent variable
-X
-must be numbers range(-1-1)
{% comment %} Label {% endcomment %}
-dependent variable
-output of the machine learning
-y
{% comment %} others {% endcomment %}
-number of rows known as a number of instances
-
----------------------(rows)
(collumns)
-
-
-
-
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#NN
-has different layers
---------------------------------------------------------------------------------
{% comment %} save a model and load{% endcomment %}
-from sklearn.externals imprt joblib
#saving
filename = 'model.sav'
joblib.dump(model, filename)
#load
model = joblib.load(filename)
{% comment %} Linear Regresion {% endcomment %}
-regresion line
-r^2
-y=mx+b
-m=dy/dx
--------------------------------------------------------------
{% comment %} Car Eval {% endcomment %}
#feature
doors
persons
lug_boot
#label
class
#labels
buying
maintenance
safety