Published inAWS Tip·Feb 7Generate requirements.txt file using pipreqsIn this article, I will explain how to Generate a requirements.txt file for any project based on imports libraries using pipreqs ipreqs : pip install pipreqs after that you can use any of these commands : Usage: pipreqs [options] [<path>] Arguments: <path>…Git2 min readGit2 min read
Published inAWS Tip·Feb 1Introduction to SageMaker Ground TruthThe truth is out there, well, most of the time. In cases that it’s not, use Amazon SageMaker Ground Truth. Let’s understand why. Labeled data is an essential ingredient for particular forms of machine learning, specifically supervised learning algorithms. During the training phase, the supervised learning algorithm will measure the…AWS3 min readAWS3 min read
Published inAWS Tip·Jan 29Setting Up SageMaker to Run Data WranglerWe start using the data wrangler service from the SageMaker studio. The first thing we need to do is set the right notebook instance for the wrangler to run on. So, from the SageMaker studio, select create a notebook instance, give your instance a name, then the most important setting…AWS3 min readAWS3 min read
Published inAWS Tip·Jan 23SageMaker Studio — Getting Started with Data WranglerWhen you look at the console, it’s really quite difficult to tell where you get started with these new services. So there are some steps that you need to do in the SageMaker Studio before you can start using, or even accessing the Data Wrangler tool. …AWS5 min readAWS5 min read
Published inAWS Tip·Jan 16Overview of Deploying the Model using SageMakerSee my previous blog about Overview of Training the Model using SageMaker from here And finally, after all this effort, after all of this training and creation and labeling, we’re actually able to start using the model AKA inferencing it. Of course, SageMaker has a section for this. At its…AWS3 min readAWS3 min read
Published inAWS Tip·Jan 12Overview of Training the Model using SageMakerSee my previous blog about Overview of Building a Model using SageMaker from here After selecting a model, the next step of course is training it. And to be perfectly honest, with smaller data sets, you can just train it in your notebook instance. There’s no reason that you have…AWS3 min readAWS3 min read
Published inAWS Tip·Jan 8Overview of Building a Model using SageMakerSee my previous blog about Overview of preparing data using aws sagemaker from here Now if you remember, next in the workflow is building the model. To go back to the hub, AKA the SageMaker dashboard, you’ll notice that notebooks are next. If you’re familiar with it, SageMaker notebooks are…Cloud5 min readCloud5 min read
Published inAWS Tip·Jan 5Overview of Preparing Data using AWS SageMakerLet’s dive into SageMaker and take a hands-on look at the tool. So in photo, you’re seeing how SageMaker looks as logged into, through Amazon Web Services. …AWS6 min readAWS6 min read
Published inAWS Tip·Jan 1AWS SageMaker and Amazon stackSageMaker Before I get away from myself and start to promise that SageMaker will solve all of your life’s problems, let’s just be very clear what SageMaker is. At its core, SageMaker is a fully managed service that provides the tools to build, train and deploy machine learning models. That’s a…AWS3 min readAWS3 min read
Published inAWS Tip·Dec 29, 2022How to get Clone a private Github repo!?Hello all, I had a simple problem with git clone a private repo to my desktop, I tried many commands from StackOverflow and other websites and issues from GitHub, and nothing my issue not solved today I solved my problem and want to share my solution with you everything is…Github1 min readGithub1 min read
