Google Cloud Platform

I was recently going through the endless list of Cloud Products and Services offered by Google. While reading various articles over the Internet about the comparison of GCP with its’ competitors like AWS, Azure, I came across this well-written answer over Quora. I was instantly compelled to share this with everyone, where the author has not only accurately compared the various Cloud platforms but has … Continue reading Google Cloud Platform

Hadoop and Spark – Big Data Technologies

Apache Hadoop Hadoop is an Open Source, Scalable, and Fault-Tolerant framework written in Java. Hadoop captures more than 90% of the big Data market. It efficiently processes large volumes of data on a cluster of commodity hardware. Provides an efficient framework for running jobs on multiple nodes of clusters. Cluster means a group of systems connected via LAN. The basic Hadoop programming language is Java, … Continue reading Hadoop and Spark – Big Data Technologies

All You Need To Know About Kubernetes!

Google open sourced Kubernetes project in 2014. It is a portable, extensible open source platform for managing containerized workloads and services.  It has a large, rapidly growing ecosystem. The name Kubernetes originates from Greek, meaning helmsman or pilot, and is the root of governor and cybernetic. K8s is an abbreviation derived by replacing the 8 “ubernete” with “8”. Of course, containerized workflows can be complicated. … Continue reading All You Need To Know About Kubernetes!

Virtual Machines, Containers, and Dockers

There are tons of articles on the Internet on the topics of Containers, VMs and Dockers. While reading these articles I found that each one has mentioned one or more features about the Technology, which were not mentioned in any of the others. So, I decided to write a post on these topics, to summarize the articles that I have read and the videos I … Continue reading Virtual Machines, Containers, and Dockers

Virtualization Explained

The Word ‘Virtual’ according to Merriam-Webster means ‘being a hypothetical particle whose existence is inferred from indirect evidence’. Basically, it’s faking the presence of a particular substance by fooling the system to think that the required element is present there in spite of it being not there. So How does this concept used in the Computer Science, and how important the concept is, how it … Continue reading Virtualization Explained

Logistic Regression in Python from Scratch

Hello Everyone . . . In this post, I’ll be sharing the code for the equations that are used in the implementation of Logistic Regression Algorithm. They are written in Python without the use of any Prediction Libraries. Even if you are a beginner, you’ll find the implementation easy and intuitive. Most of the readers are already acquainted with ML Libraries like scikit-learn, TensorFlow, Keras, Caffe, … Continue reading Logistic Regression in Python from Scratch