Complete End-to-End Terraform Pipeline!
Integrated multiple technology world in this pipeline which are Big Data, Cloud, & DevOps.
Implemented multiple AWS services for scaling and AWS cloudfront Distribution for distributing the
content. Used Terraform for automating Infrastructure as a code. Used Various big data tools for processing.
Used Docker for running multiple containers inside the AWS EC2 instance.
Deep-Dive Content-based Recommendation System!
Types of Recommendation systems has been explained in this blog, & having main focus on
content-based Recommendation systems. Also, an real life project has been explained with the
link to the code of that project!
It is a way of judging the performance of a classification Model in Data Science World!
We have to split the data into several parts in order to get the best out of the trained model. This blog
will explain all that splits!
This articles explains the complex concept of `reference to a pointer` in a very simple way!