krunal3kapadiya

from sklearn import tree
features=[[140,1],[130,1],[150,0],[170,0]]
labels=[0,0,1,1]
clf=tree.DecisionTreeClassifier()
clf=clf.fit(features,labels)
print clf.predict([[150,0]])

krunal3kapadiya

from sklearn import tree

krunal3kapadiya

#[[140g,Smooth],[130g,Smooth],[150g,Bumpy],[170g,Bumpy]]
features=[[140,1],[130,1],[150,0],[170,0]] 
#[Apple,Apple,Orange,Orange]
labels=[0,0,1,1]

krunal3kapadiya

clf=tree.DecisionTreeClassifier()
clf=clf.fit(features,labels)

krunal3kapadiya

print clf.predict([[150,0]])

krunal3kapadiya

task hello {
    description "Hey MADMeetup! Don't say I like your presentation, love it :D"
    group "Mumbai Android Developers"
    doLast {
		println description
		println group
        println "Hello World!"
    }
}

krunal3kapadiya

public class MainActivity extends AppCompatActivity {
        private final int PERMISSION_REQUEST_CODE = 1;

        @Override
        protected void onCreate(Bundle savedInstanceState) {
            super.onCreate(savedInstanceState);

            setContentView(R.layout.activity_main);
            
            // list of permissions

krunal3kapadiya

from __future__ import print_function

import tensorflow as tf

hello = tf.constant('Hello, TensorFlow!') #Creating the constant op
sess = tf.Session() # Start tf session
print(sess.run(hello)) # Run the op

krunal3kapadiya

from __future__ import print_function
import tensorflow as tf
hello = tf.constant('Hello, TensorFlow!')
# Start tf session
sess = tf.Session()
# Run the op
print(sess.run(hello))

krunal3kapadiya

from __future__ import print_function
import tensorflow as tf

# Basic constant operations
a = tf.constant(2)
b = tf.constant(4)

# Launch the default graph.
with tf.Session() as sess:
    print("a=2, b=4")