AWS Lambda Creation and Automation In this project you will learn how to create an AWS Lambda and how to automate the process of updating the lambda function. Link to Github: Here What is AWS Lambda AWS LAMBDA: “AWS Lambda is an event-driven, serverless computing system provided. …

AWS CDK In this article you will learn about AWS CDK, and also learn how to create a lambda function via the AWS CDK. Link to Github: Here About the Lab In this lab we will firstly introduce you to AWS CDK and then teach you on how to create a Lambda function with the…

In this project you will learn how to obtain you AWS Access keys and learn how to set up the access keys in the AWS CLI. You will also learn how to switch accounts in the AWS CLI, when you have multiple accounts for different purposes. Link to Github: Here About the Project …

A Computer Vision based Project to check if the driver of a vehicle is sleepy About the Project The main idea of this project is to protect drivers who travel a long distance, especially during the night time, and are prone to feel sleepy. The project can be deployed on a Raspberry Pi…

Suppose as a Data Scientist you create a model for performing a task. The codes are well documented on Github. You also create a lambda function that is capable of using this model when it is triggered with an event. AWS LAMBDA: “AWS Lambda is an event-driven, serverless computing system…

Amazon Redshift is a fully managed server-less service from the Amazon Web Services that belongs to the category of RDS (Relational Database Systems). SQL can be used to query data from Redshift. Redshift is typically used for OLAP (Online Analytics and Processing) applications and serves as a powerful data warehouse. …

This is a tutorial article on how you can train your custom object detector using YOLOv4. The codes used in this article can be found here at GitHub. Let's directly dive into the tutorial in a stepwise fashion. Section 1: Dataset Dataset is taken from RDD2020: https://data.mendeley.com/datasets/5ty2wb6gvg/1 RDD2020 dataset comprising 26,336 road images…

Data Scientists and Data Professionals are increasingly interested in learning how to train machine learning and deep learning models, ranging from simple to complicated. They’re also curious about how to put these models in the cloud. But one thing that has sparked my curiosity is that little is said about…

There are many machine learning algorithms used for supervised machine learning. One popular machine learning algorithm is the Random Forest algorithm. Random Forest (RF) is an ensemble machine learning algorithm. Ensemble machine learning algorithms utilize the advantage of using the prediction of multiple algorithms. …