Erick Calderin

MsC Information Systems Engineering Student, Data Science

[Python Coding @clcoding]

Check RAM (Memory) Usage using Python

[Erick Calderin @ErickDCal]

I just published Classic RAG with HuggingFace, Qdrant and Streamlit https://t.co/fknR7nN35i

[Erick Calderin @ErickDCal]

SQLPilot /publications/null-M7syRyVpzAH8 #readytensor

[Erick Calderin @ErickDCal]

I just published Handwritten Digit Recognition with Cosine Similarity https://t.co/QzOFpVrPuN

[Erick Calderin @ErickDCal]

Leveraging Tensorflow capabilities for model deployments with Tensorflow Lite in order to keep a light-weight application working on AWS. In #mlzoomcamp I learnt how to train, evaluate and deploy a single fashion model into AWS Lambda.

[Erick Calderin @ErickDCal]

Now it is time to rigurously train a Convolutional Neural Network using a pre-trained model, Xception gave me a excellent performance, thanks to #mlzoomcamp I could learn how to avoid overfitting, analyze my models and evaluating them properly.

[Erick Calderin @ErickDCal]

Applying the learnt in #mlzoomcamp for the mid-term project was a great milestone, I could learn not only how to apply ML to my specific problem but how to deploy my model to AWS ElasticBeanstalk.

[Erick Calderin @ErickDCal]

How importante is to evaluate a ML model? in #mlzoomcamp I learnt different techniques to achieve more accurate predictions and a well-optimized model ready to production.

[Erick Calderin @ErickDCal]

#mlzoomcamp Such an amazing exercises about LogisticRegression and model interpretation, I successfully completed the submission for the week 3.

[Erick Calderin @ErickDCal]

One more submission completed in Machine Learning Zoomcamp #mlzoomcamp In this one I could learn more about the foundations of Linear Regression from a linear algebra apporach.

[Erick Calderin @ErickDCal]

Keeping learning with #mlzoomcamp where I was introduced the first steps with Numpy and Pandas through the intro submission of the course.

[Erick Calderin @ErickDCal]

Thrilled to have successfully wrapped up #mlopszoomcamp, diving deep into the world of MLOps! 🚀 #LearningInProgress

[Erick Calderin @ErickDCal]

Approaching the final project with newfound skills from #mlopszoomcamp! Implementing MLflow for efficient model tracking, Prefect for seamless workflows, and Lambda for real-time streaming. Excited to showcase my expertise and complete the project with confidence! 🚀

[Erick Calderin @ErickDCal]

#MLOpsZoomCamp Section 06 = pure joy! Docker & localstack made AWS testing a breeze. Makefiles, unit & integration tests = streamlined workflow & robustness. Feeling empowered & ready for MLOps greatness! 🎉 #MLOps #Docker #Localstack #Makefiles #UnitTests #IntegrationTests

[Erick Calderin @ErickDCal]

Just wrapped up Section 05 of the #MLOpsZoomCamp. Learned all about Prefect and Grafana for model monitoring metrics. Excited to apply these tools to enhance performance in my ML projects. Thanks for the incredible learning journey! #Prefect #Grafana #MLOps

[Erick Calderin @ErickDCal]

🎉 Homework 4 on model deployment with Docker done and dusted. Excited to level up my MLOps skills at #MLOpsZoomCamp. Dockerizing models for seamless deployment is a game-changer! Huge thanks to my instructors for the knowledge boost. Onwards to more efficient model deployments!

[Erick Calderin @ErickDCal]

Had an incredible time at #mlopszoomcamp! Just discovered the power of @wandb for tracking my models. 🚀 It's a game-changer!

With @wandb, I can easily log hyperparameters, metrics, and visualizations.

If you're into #AI and #MLOps, don't miss out on @wandb! 🎯✨ #mlopszoomcamp

[Erick Calderin @ErickDCal]

Nice homework, I did not expect the Prefect capabilities regarding scheduling tasks and flows. Furthermore, I got surprised by seeing a report in my email.
Thanks #mlopszoomcamp

[Erick Calderin @ErickDCal]

Just completing the task 2 for the Machine Learning Zoom Camp. #MLFlow for tracking ML experiments #mlopszoomcamp.

[Mike Driscoll @driscollis]

#Python Pop Quiz 🐍❓

What is the result when you run this code?

A) Syntax Error
B) 5 .__mul__
C) 30
D) What is this madness?