Aswin Mohan aswinmohanme

## iris.py
# Import the Iris Dataset
from sklearn.datasets import load_iris

# Really load Iris
iris = load_iris()

## iris.py
# Every coloums is a feature
# Every Row is an observation
print(iris.feature_names)

# Prints the Target Species
print(iris.target)

# PRitn the names of the species
print(iris.target_names)

## iris.py
# The Dimensions are retured using the shape attribute
print(iris.data.shape)
print(iris.target.shape)

## iris.py
# It is convention that X holds the Feature array and y holds the label array
X = iris.data
y = iris.target

## iris.py
#Import the Algorythm
from sklearn.neighbors import KNeighborsClassifier

# Instantiate the  Classifier
knn = KNeighborsClassifier()

# Train the Model
knn.fit(X,y)

# Create some test data , this corresponds with 0 species

## tet_privacy_policy.html
<!DOCTYPE html><html> <head> <meta charset="utf-8"> <meta name="viewport" content="width=device-width"> <title>Privacy Policy</title> <style>body{font-family: "Helvetica Neue", Helvetica, Arial, sans-serif; padding:1em;}</style></head> <body><h2>Privacy Policy</h2> <p> Aswin Mohan built the Tet app as a Free app. This SERVICE is provided by Aswin Mohan at no cost and is intended for use as is.
                  </p> <p>This page is used to inform website visitors regarding my policies with the collection, use, and
                    disclosure of Personal Information if anyone decided to use my Service.
                  </p> <p>If you choose to use my Service, then you agree to the collection and use of information in relation
                    to this policy. The Personal Information that I collect is used for providing and improving the
                    Service. I will not use or share your information with anyone except as described
                    in this Privacy Policy.
                  </p>

## tet_privacy_policy.html
<!DOCTYPE html><html> <head> <meta charset="utf-8"> <meta name="viewport" content="width=device-width"> <title>Privacy Policy</title> <style>body{font-family: "Helvetica Neue", Helvetica, Arial, sans-serif; padding:1em;}</style></head> <body><h2>Privacy Policy</h2> <p> Aswin Mohan built the Tet app as a Free app. This SERVICE is provided by Aswin Mohan at no cost and is intended for use as is.
                  </p> <p>This page is used to inform website visitors regarding my policies with the collection, use, and
                    disclosure of Personal Information if anyone decided to use my Service.
                  </p> <p>If you choose to use my Service, then you agree to the collection and use of information in relation
                    to this policy. The Personal Information that I collect is used for providing and improving the
                    Service. I will not use or share your information with anyone except as described
                    in this Privacy Policy.
                  </p>

## tet_proprivacy_policy.html
<!DOCTYPE html><html> <head> <meta charset="utf-8"> <meta name="viewport" content="width=device-width"> <title>Privacy Policy</title> <style>body{font-family: "Helvetica Neue", Helvetica, Arial, sans-serif; padding:1em;}</style></head> <body><h2>Privacy Policy</h2> <p> Aswin Mohan built the Tet Pro app as a Commercial app. This SERVICE is provided by Aswin Mohan  and is intended for use as is.
                  </p> <p>This page is used to inform website visitors regarding my policies with the collection, use, and
                    disclosure of Personal Information if anyone decided to use my Service.
                  </p> <p>If you choose to use my Service, then you agree to the collection and use of information in relation
                    to this policy. The Personal Information that I collect is used for providing and improving the
                    Service. I will not use or share your information with anyone except as described
                    in this Privacy Policy.
                  </p>

## hacknews_privacy_policy.html
<!DOCTYPE html><html> <head> <meta charset="utf-8"> <meta name="viewport" content="width=device-width"> <title>Privacy Policy</title> <style>body{font-family: "Helvetica Neue", Helvetica, Arial, sans-serif; padding:1em;}</style></head> <body><h2>Privacy Policy</h2> <p> Aswin Mohan built the Hack News app as an Ad Supported app. This SERVICE is provided by Aswin Mohan at no cost and is intended for use as is.
                  </p> <p>This page is used to inform website visitors regarding my policies with the collection, use, and
                    disclosure of Personal Information if anyone decided to use my Service.
                  </p> <p>If you choose to use my Service, then you agree to the collection and use of information in relation
                    to this policy. The Personal Information that I collect is used for providing and improving the
                    Service. I will not use or share your information with anyone except as described
                    in this Privacy Policy.


## hacknewspro_privacy.html
<!DOCTYPE html><html> <head> <meta charset="utf-8"> <meta name="viewport" content="width=device-width"> <title>Privacy Policy</title> <style>body{font-family: "Helvetica Neue", Helvetica, Arial, sans-serif; padding:1em;}</style></head> <body><h2>Privacy Policy</h2> <p> Aswin Mohan built the HackNews Pro app as an Ad Supported app. This SERVICE is provided by Aswin Mohan at no cost and is intended for use as is.
                  </p> <p>This page is used to inform website visitors regarding my policies with the collection, use, and
                    disclosure of Personal Information if anyone decided to use my Service.
                  </p> <p>If you choose to use my Service, then you agree to the collection and use of information in relation
                    to this policy. The Personal Information that I collect is used for providing and improving the
                    Service. I will not use or share your information with anyone except as described
                    in this Privacy Policy.
	# Import the Iris Dataset
	from sklearn.datasets import load_iris

	# Really load Iris
	iris = load_iris()
	# Every coloums is a feature
	# Every Row is an observation
	print(iris.feature_names)

	# Prints the Target Species
	print(iris.target)

	# PRitn the names of the species
	print(iris.target_names)
	# The Dimensions are retured using the shape attribute
	print(iris.data.shape)
	print(iris.target.shape)
	# It is convention that X holds the Feature array and y holds the label array
	X = iris.data
	y = iris.target
	#Import the Algorythm
	from sklearn.neighbors import KNeighborsClassifier

	# Instantiate the Classifier
	knn = KNeighborsClassifier()

	# Train the Model
	knn.fit(X,y)

	# Create some test data , this corresponds with 0 species
	<!DOCTYPE html><html> <head> <meta charset="utf-8"> <meta name="viewport" content="width=device-width"> <title>Privacy Policy</title> <style>body{font-family: "Helvetica Neue", Helvetica, Arial, sans-serif; padding:1em;}</style></head> <body><h2>Privacy Policy</h2> <p> Aswin Mohan built the Tet app as a Free app. This SERVICE is provided by Aswin Mohan at no cost and is intended for use as is.
	</p> <p>This page is used to inform website visitors regarding my policies with the collection, use, and
	disclosure of Personal Information if anyone decided to use my Service.
	</p> <p>If you choose to use my Service, then you agree to the collection and use of information in relation
	to this policy. The Personal Information that I collect is used for providing and improving the
	Service. I will not use or share your information with anyone except as described
	in this Privacy Policy.
	</p>