Think Logically
Principal component analysis (PCA) is used as a dimensionality reduction technique. When we have a lot of dimension in data it’s difficult to find the dimensions which are responsible for the results. Let us consider a scenario in which you have an army of 10,000 soldiers. How can we determine that the army will win …
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This is the story of a person found at JORDAN border, the country is surrounded by 5 neighbors, so how can we find the person belong to which country. KNN plays a vital role here, KNN is a algorithm which stores the whole model, i.e. it will never make any function. It will check the …
Let us start with some basics of addition and multiplication program and represent them in a tensorboard. import tensorflow as tfx=tf.constant(1,name=’x’)m=tf.constant(2,name=’y’)z=tf.constant(3,name=’z’)prod=tf.multiply(x,m,name=’multiply’)add=tf.add(prod,z,name=’add’)with tf.Session() as sess: writer=tf.summary.FileWriter(logdir=’./graph’,graph=sess.graph) print(sess.run(add))Output is :5 Now, if we want to check the graph, we have to run following command in Linux(Note: I have used Kali linux), read different types of tensor in …
This analysis is for finding a click event of the user, the details are as : Zbay is an E-commerce website which sells a variety of products at its online platform. Zbay records user behaviour of its customers and stores it as a log. However, most of the times, users do not buy the products …
One of the powerful library used for graph building activities is NetworkX. It is widely used in solving graph problems and network related queries. Lets have a look into NetworkX now. In order to use it with python import it, import networkx as nx The following basic graph types are provided as Python classes: Graph This class …