Author: shubhamgoyal01

Machine X: Text Summarization in Python

Reading Time: 5 minutes In this blog, we will learn about the different type of text summarization methods and at the end, we will see a practical of the same. We all interact with applications that use text summarization. several of these applications are for the platform that publishes articles on daily news, amusement, sports. With our busy schedule, we have a tendency to choose to read the summary of this article before we decide to jump in for reading the whole article. Reading a summary help us to spot the Continue Reading

MachineX :k-Nearest Neighbors(KNN) for classification

Reading Time: 4 minutes In this blog, we are going to go through about one of the widely used classification algorithm called KNN (K-Nearest Neighbors). Since I started doing data science, I observed that most of the problems end up with classification model The main reason behind this biased property is, most of the analytic problems are based on decision making. For instance, to identify loan applicants as low, Continue Reading

MachineX: The alphabets of Artificial Neural Network – (Part 2)

Reading Time: 3 minutes If you are reading this blog, it is supposed that you have already done with Part 1 No???? Then visit to the previous blog The alphabets of Artificial Neural Network first and comeback here for an awesome knowledge about Neural network working. We got the basic understanding of neural network so let’s get into deep. Let’s understand how neural networks work. Once you got the Continue Reading

MachineX: The alphabets of Artificial Neural Network

Reading Time: 4 minutes In this blog, we will talk about Neural network which is the base of deep learning which gave machine learning and ultra edge in the current AI revolution. Let’s get started!!!!!! before diving into deep learning, let’s know – Why Deep Learning ??? Well, there are plenty of reason , few of them are: Deep learning is most popular than shallow level learning once you Continue Reading

Lagom Zero Hour: CQRS Concepts

Reading Time: 4 minutes In this blog, we will discuss CQRS and how it is different from old approaches. CQRS stands for Command Query Responsibility Segregation. The approach that individuals use for interacting with a data system is to treat it as a CRUD datastore. By this, I mean that we have a mental model of some record structure. We think about producing new records, scanning records, updating existing records, Continue Reading

Scala Zero Hour: Lists

Reading Time: 6 minutes A class for immutable linked lists representing ordered collections of elements of type. This class comes with two implementing case classes scala.Nil and scala.:: that implement the abstract members isEmpty, head and tail. This class is optimal for,last-in-first-out (LIFO) stack-like access patterns. Given below are a few examples val myList = List(3, 2, 1) myList: List[Int] = List(1, 2, 3, 4)val myListwith4 = 4 :: myList // Continue Reading

MachineX: Data Cleaning in Python

Reading Time: 8 minutes In this Blog, we are going to learn about how to do Data Cleaning in Python. Most data scientists spend only 20 percent of their time on actual data analysis and 80 percent of their time finding, cleaning, and reorganizing huge amounts of data, which is an inefficient data strategy. The reason data scientists are hired in the first place is to develop algorithms and Continue Reading

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