python

Running Apache Airflow DAG with Docker

Reading Time: 3 minutes In this blog, we are going to run the sample dynamic DAG using docker. Before that, let’s get a quick idea about the airflow and some of its terms. What is Airflow? Airflow is a workflow engine which is responsible for managing and scheduling running jobs and data pipelines. It ensures that the jobs are ordered correctly based on dependencies and also manages the allocation Continue Reading

Product demand forecasting with Knime

Reading Time: 5 minutes In this blog, we are going to see, Importance of demand forecasting and how we can easily create these forecasting workflows with Knime. Market request forecasting is a basic procedure for any business, however maybe none more so than those in buyer packaged products. Stock, production, storage, delivering, showcasing – each aspect of CPG and retail organizations’ activities are influenced by accurate forecasting. Identifying shoppers’ Continue Reading

Knime Analytics Platform: A dream for a data scientist

Reading Time: 3 minutes In this blog, we are going to see, what is the Knime analytics platform and its important features to create an analytics workflow in an easy way. Introduction to Knime Analytics Platform KNIME is a platform built for powerful analytics on a GUI based workflow. This means you do not have to know how to code to be able to work using KNIME and derive Continue Reading

Delta Lake To the Rescue

Reading Time: 4 minutes Welcome Back. In our previous blogs, we tried to get some insights about Spark RDDs and also tried to explore some new things in Spark 2.4. You can go through those blogs here: RDDs – The backbone of Apache Spark Spark 2.4: Adding a little more Spark to your code In this blog, we will be discussing something called a Delta Lake. But first, let’s Continue Reading

MachineX: Image Data Augmentation Using Keras

Reading Time: 4 minutes In this blog , we will focus on Image Data Augmentation using keras and how we can implement same. Problem When we work with image classification projects, the input which a user will give can vary in many aspects like angles, zoom and stability while clicking the picture. So we should train our model to accept and make sense of almost all types of inputs. Continue Reading

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

Build your first web application using Django

Reading Time: 3 minutes In our previous blog Introduction to Django, we discussed the Django’s features and architecture. In this blog, we will create a web application in Django. For starting a new project, go to the folder where you want your project to be and run the command: django-admin startproject django_proj django-admin Django’s command-line utility for administrative tasks.manage.py is automatically created in each Django project. manage.py does the Continue Reading

Create your first messaging application with RabbitMQ

Reading Time: 3 minutes What is RabbitMQ and Why we should use it? We often get this question in our mind when we look to any project and see RabbitMQ in its technical stack. So, this blog will give you a brief introduction to RabbitMQ. RabbitMQ is a message-broker whose basic functionality is to accept and forward the message. It is an open-source enterprise messaging system modeled on the Advanced Continue Reading

Data processing using ML Supervised classification algorithm to find accuracy

Reading Time: 5 minutes Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it to learn for themselves. Type of machine learning Supervised learning Unsupervised Learning Reinforcement Learning In Supervised Learning, algorithms learn from labeled data. After understanding Continue Reading

List in Python

Reading Time: 4 minutes In this blog, we are going to discuss the list data structure of python. The list is a collection which is: • Ordered : [1,2] is not equal to [2,1] • Allows duplicate members: [1, 1] is allowed. • Mutable: allows modification of elements of the list after its creation. • Dynamic: allows addition, modification or deletion of elements. The differentiating feature between arrays from Continue Reading