Clustering, in general, is an “unsupervised learning” method. That means we don’t have a target variable. We’re just letting the patterns in the data become more apparent.
K-means clustering distinguishes itself from Hierarchical since it creates K random centroids scattered throughout the data. The algorithm looks a little bit like…
According to Wikipedia: —
In simple ways:-
The confusion matrix is one of the most popular and widely used performance measurement techniques for classification models. While it is super easy to understand, its terminology can be a bit confusing.
Therefore, keeping the above premise under consideration, this article aims to clear the “fog” around this amazing model evaluation…
Task Description 📄
👉 Pull the Docker container image of CentOS image from DockerHub and create a new container
👉 Install the Python software on the top of docker container
👉 In Container you need to copy/create a machine learning model which you have created in Jupiter notebook
👉 Create a blog/article/video step by…
OpenShift is a family of containerization software products developed by Red Hat. Its flagship product is the OpenShift Container Platform — an on-premises platform as a service built around Docker containers orchestrated and managed by Kubernetes on a foundation of Red Hat Enterprise Linux. The family’s other products provide this…
First, try pinging both Google and Facebook,
What is SQS?
🔰 11.1 Configure Hadoop and start cluster
services using Ansible Playbook
🔰 11.3 Restarting HTTPD Service is not
idempotence in nature and also consume more
resources suggest a way to rectify this challenge
in Ansible playbook…