CodersArts CodersArts

## K-Means.py
''' For more visit
https://www.codersarts.com
'''


import pandas as pd
from sklearn.cluster import KMeans
from sklearn.metrics import mean_squared_error

# read the train and test dataset

## kNN.PY
''' For more visit
https://www.codersarts.com
'''


import pandas as pd
from sklearn.neighbors import KNeighborsClassifier
from sklearn.metrics import accuracy_score

# read the train and test dataset

## NaiveBayes.py
''' For more visit
https://www.codersarts.com
'''


import pandas as pd
from sklearn.naive_bayes import GaussianNB
from sklearn.metrics import accuracy_score

# read the train and test dataset

## SVM.py
''' For more visit
https://www.codersarts.com
'''


import pandas as pd
from sklearn.svm import SVC
from sklearn.metrics import accuracy_score

from sklearn.metrics import mean_squared_error

## DecisionTree.py
''' For more visit
https://www.codersarts.com
'''


import pandas as pd
from sklearn.tree import DecisionTreeClassifier
from sklearn.metrics import accuracy_score


## LigisticRegression.py
''' For more visit
https://www.codersarts.com
'''


import pandas as pd
from sklearn.linear_model import LogisticRegression
from sklearn.metrics import accuracy_score


## LinearRegression.py
''' For more visit

https://www.codersarts.com

'''


import pandas as pd
from sklearn.linear_model import LinearRegression
from sklearn.metrics import mean_squared_error

## jsbooleanobject.html
#Codersarts


<!DOCTYPE html>
<html>
<body>

<p>Never create booleans as objects.</p>
<p>Booleans and objects cannot be safely compared.</p>

## jsboolean.html
#Codersarts


<!DOCTYPE html>
<html>
<body>

<p>Display the value of Boolean(20 > 19):</p>

<button onclick="myFunction()">Try it</button>

## jsrandom.html
#Codersarts


<!DOCTYPE html>
<html>
<body>

<h2>JavaScript Math</h2>

<p>Math.floor(Math.random() * 20) returns a random integer between 0 and 19 (both
	''' For more visit
	https://www.codersarts.com
	'''


	import pandas as pd
	from sklearn.cluster import KMeans
	from sklearn.metrics import mean_squared_error

	# read the train and test dataset
	#Codersarts


	<!DOCTYPE html>
	<html>
	<body>

	<p>Never create booleans as objects.</p>
	<p>Booleans and objects cannot be safely compared.</p>