K-means clustering is a simple and powerful unsupervised machine learning algorithm that is used to solve clustering problems. It follows a simple procedure of classifying a given data set into a number of clusters, defined by the letter “k,” which is fixed beforehand.
It is a centroid-based algorithm, where each cluster is associated with a centroid. The main aim of this algorithm is to minimize the sum of distances between the data point and their corresponding clusters.
K-means clustering has uses in search engines, market segmentation, statistics and even astronomy.
It is used for clustering analysis, especially in data mining…
It can be used in various activities like data validation, display popup messages, handling different events of DOM elements, modifying the style of DOM elements etc.
Does the confusion matrix making you confused?
So let’s go into deep dive and know more in details about it.
In order to check the performance of a classification-based ML model, the confusion matrix is hugely deployed.
Kubernetes is a flexible container management system that is developed by Google in 2014. It is used to manage containerized applications in multiple environments.
It was originally designed by Google and is now maintained by the Cloud Native Computing Foundation. It aims to provide a “platform for automating deployment, scaling.
Kubernetes is also known as K8s, It is an open-source system for automating deployment, scaling, and management of containerized applications. When we deploying applications as containerized images, there are many manual processes that come up to the management and scheduling of these containerized services at scale.
Manually scaling and deploying…
Today’s IT infrastructure is more complex than ever. So let’s see how industries are solving challenges using Ansible Tool
Ansible is a simple-to-use platform, easy to install and configure, with a very fast learning rate. In less than 30 minutes, it’s possible to install and configure the system and execute ad hoc commands for servers to solve a specific problem, daylight saving time adjustments, time synchronization, root password change, updating servers, restarting services, and so on.
So here I come with my new blog, where I’m going to show you the magic behind this 🙃🙃why and how?
Before doing the further steps let me share you about some basic knowledge of Networking…….
A routing table is a set of rules, often viewed in table format, that is used to determine where data packets traveling over an Internet Protocol (IP) network will be directed. All IP-enabled devices, including routers and switches, use routing tables. Each packet contains information about its origin and destination.
When a packet is received, a network device examines the packet and matches it…
In this article I’m going to show you how we can integrate the Logical Volume Management concept to give the more storage to the data node.
Task Description 📄
🌀 7.1: Elasticity Task
🔅Integrating LVM with Hadoop and providing Elasticity to DataNode Storage
🔅Increase or Decrease the Size of Static Partition in Linux.
So in my previous article I have already mentioned that how we can create partition and can give limited amount of storage. Now I’m going to show you the concept of Logical Volume Management(LVM). We know in normal partition we can create only 4 partition, which is…
In this article I’m going to show you how to Create High Availability Architecture with AWS CLI.
◾Webserver configured on EC2 Instance
◾Document Root(/var/www/html) made persistent by mounting on EBS Block Device.
◾Static objects used in code such as pictures stored in S3
◾Setting up Content Delivery Network using CloudFront and using the origin domain as S3 bucket.
◾Finally place the Cloud Front URL on the webapp code for security and low latency.
command : aws ec2 create-key-pair — key-name <value> — query KeyMaterial > <value>.pem — output text > <value>.pem
Machine learning(ML) means to train the machine to work or think like a human mind using the historical data. Any technique used to create human-style reasoning in machines, Machine learning is a computer science term, is “a subset of AI describing techniques that allow a computer to improve on tasks with experience — using data to train itself, recognize patterns, and make predictions”. Machine learning is basically refers to Artificial Intelligence because using ML we can create AI.
Machine learning is a buzzword in the technology world right now, and for good reason.