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How To Quality-Check Python Code Using Pylint On CI?

Reading Time: 2 minutes In this article, we will talk about how to quality-check Python code using Pylint on CI. Code Quality Through CI As we know, code quality is an important aspect of any project. It is the responsibility of every developer to quality-check the code before pushing it to the repository. However, to enforce this and implement the concepts of Continuous Integration (CI), we need to have Continue Reading

A Simple Guide to Data Preprocessing in Machine Learning

Reading Time: 5 minutes Machine learning algorithms are completely data-dependent as they are the most important aspect of enabling model training. On the other hand, if you don’t understand this data before feeding it to the ML algorithm, the machine becomes useless. Simply put, you always need to provide the right data due to that preparing data in machine learning with the appropriate scale, format, and meaningful attributes for Continue Reading

A Complete Guide To Recurrent Neural Network

Reading Time: 5 minutes Recurrent neural networks are a type of deep learning-oriented algorithm that follows a sequential approach. Neural networks always assume that each input and output is independent of all other layers. This type of neural network is recurrent neural network because it performs mathematical calculations in a sequence. Neural networks imitate the function of the human brain in the fields of AI, machine learning, and deep Continue Reading

Complete Guide to Single Layer Perceptron with Implementation

Reading Time: 4 minutes To understand the single-layer perceptron, it is important to understand the artificial neural network (ANN). An artificial neural network is an information processing system whose mechanism is inspired by the function of biological neural circuits. Artificial neural networks have many interconnected computing units. The schematic diagram of the artificial neural network is as follows. This figure shows that the hidden entity is communicating with the Continue Reading

Make better decisions with Google Cloud Document AI

Reading Time: 3 minutes Nearly all business processes today begin, include or end with a document. Most companies are sitting on the document goldmine. Thinking of which some are PDFs, emails, customer feedback, patents, contracts, technical documents, sensitive documents, HR files and the list goes on. These documents are only going to grow with time. Making sense of each document is difficult since a lot of these documents are Continue Reading

Create AWS EBS Volume Snapshot Using Boto3 Python

Reading Time: 3 minutes Hello Everyone Today we will learn about how to create AWS EBS Volume snapshot using boto3 Python version. Firstly before creating using Python script , we will create on AWS that will be based on User Interface with Manual steps. What is AWS EBS snapshot It provides with the data protection for the long term as well as with the durability that are in EBS Continue Reading

Explore OpenCV & Why Do We Need To Know About It?

Reading Time: 4 minutes OpenCV (Open Source Computer Vision Library) is an open-source computer vision and machine learning software library. It was built to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception in commercial products. Being a BSD-licensed product, OpenCV makes it easy for businesses to utilize and modify the code. OpenCV OpenCV is the huge open-source library for computer vision, Continue Reading

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How to Use Python Wrapper to Play With Jenkins

Reading Time: 4 minutes Hi Readers!! In this blog, we will learn about the python wrapper that is python-jenkins wrapper. We will see How to Use Python Wrapper to Play With Jenkins. What is a Python Wrapper? Wrappers are also known as decorators. wrappers are the functionality available in Python to wrap a function with another function to extend its behavior. Now, the reason to use wrappers in our Continue Reading

Why Use MongoDB in Machine learning? And how to use MongoDB in Python?

Reading Time: 5 minutes In this blog, we will learn why to use MongoDB in Machine Learning. And how we can use MongoDB in Python using Pymongo. MongoDB is a document-oriented NoSQL database used for high-volume data storage. Instead of using tables and rows as in the traditional relational databases. MongoDB makes use of collections and documents. It is an open-source, cross-platform, document-oriented database written in C++. Installing MongoDB Continue Reading

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How to Connect PostgreSQL With Django Project

Reading Time: 4 minutes Hi, Reader in this blog we are going to see How to Connect PostgreSQL With Django Project. I will perform these tasks in a virtual environment. What is Virtualenv? A Virtualenv is a way that you can separate different python environments for different projects. So why do you want to do something like this for example say that you have multiple projects and they all Continue Reading

Introduction to Ensemble Learning

Reading Time: 4 minutes Ensemble methods are techniques that create multiple models and then combine them to produce improved results. Ensemble learning usually produces more accurate solutions than a single model would. This has been the case in a number of machine learning competitions and, where the winning solutions used ensemble methods. Ensemble methods You must ensure that your models are independent of one another and when creating a Continue Reading

TensorFlow Graphics: A small introduction to the graphical world

Reading Time: 2 minutes In this blog we will see the use of TensorFlow graphics on three dimensional objects. So what is computer graphics? Computer Graphics is a sub-field of computer science which studies methods for digitally synthesising and manipulating visual content. Today Computer graphics is a core technology used in films, games, videos, phones, computer display etc. It has evolved overs the years, today you can make amazing Continue Reading

Hyperparameter Optimization and Tuning

Reading Time: 3 minutes A Machine Learning model is defined as a mathematical model with a number of parameters that need to be learned from the data. By training a model with existing data, we are able to fit the model parameters.However, there is another kind of parameters, known as Hyperparameters. Hyperparameters contain the data that govern the training process itself These parameters express important properties of the model such Continue Reading