Probando Polars con los cursos gratis de DataCamp de este mes.

⚡ Rust + Arrow (columnar y ultra rápido)
🧠 Optimiza tus queries automáticamente
⚙️ Lazy frames, streaming y aceleración por GPU

¡Aún hay tiempo de aprovechar el acceso libre! 🐼➡️🐻‍❄️

#DataScience #Python #Polars

Elabore una intro inspirada en Matrix con Hermes, un arnés agéntico. Generó audio con IA y un script en Python + FFmpeg para exportar el video ASCII. ¡De lenguaje natural a código en segundos! 🕶️📟 #AI #AgenticAI #Hermes #LLMs

¿Te interesan los agentes de IA pero te frena usar la consola?

Nous Research lanzó Hermes Desktop. Toda la potencia de su agente autónomo open source (con memoria y auto-habilidades) en una app nativa con interfaz visual. 🚀

👇 Link abajo
#AIAgents #OpenSource #HermesAgent

Hugging Face es a la IA lo que GitHub es al software tradicional. 🤖✨

Hoy empiezo mi camino en la especialización "Next-Gen AI Development with Hugging Face" de Pragmatic AI Labs en Coursera.

Si te interesa la IA aplicada, dale un vistazo a esta plataforma. 🤗

#AI #HuggingFace #Tech #OpenSource

¡Habemus Ubuntu 26.04 LTS! 🐧📦

Si buscabas una señal para dejar el software privativo, es esta. Linux nunca fue tan fácil de usar.

Europa ya están haciendo la transición. ¿Y tú? Es gratis, es tuyo y es el futuro. 🌐
ubuntu.com/download/des...

#Ubuntu #Linux #SoftwareLibre #Tech

I've released a presidential dataset with +19k digitized tally sheets (OCR-ready) and geocoded voting centers.

Kaggle: Data is 100% live.
www.kaggle.com/datasets/mma...

#Honduras #DataScience #OpenData #Elecciones2025 #Python #Kaggle

Working on a comprehensive dataset for Honduras Elections (CNE), including ballot images for ML training. 🇭🇳

Used #Gemini to optimize prompts for async scraping & multiprocessing (PDF to Img). Stack: #MarimoNotebooks, Python, SQLite, Pandas, GoogleMaps API.

#Python #DataScience #OpenData

Learning about evaluation metrics in #MLZoomcamp, and this was an eye-opener: an 80% accuracy score can be junk.

If your dataset is 72% "no-churn," a model that just always says "no-churn" gets 72% accuracy. Your "fancy" model might just be slightly better than a dumb baseline! 🫠

#DataTalksClub

What's a single, powerful metric for model comparison? AUC (Area Under the Curve).

It measures a model's ability to separate positive and negative classes, independent of any specific threshold.

🎯 1.0 = Perfect classifier 🤷 0.5 = Random guessing

#MLZoomcamp #DataTalksClub #LearningInPublic

How do you know how stable your model is? K-Fold Cross-Validation.

1. Split data into K folds.
2. Train on K-1, test on 1.
3.Repeat K times.

Get the mean & standard deviation of the scores.

A low std dev means your model's performance is consistent! 😌 #MLZoomcamp #DataTalksClub #LearningInPublic

How does a model predict customer churn? 🤔 With Logistic Regression!

A linear model scores a customer, then the sigmoid function squashes that score into a 0-1 probability. High probability = high churn risk! 🎯

Learn more from Alexey Grigorev!
#MLZoomcamp #DataTalksClub #MachineLearning

This week's #MLZoomcamp project is so practical! We're addressing customer churn by building a model to predict who is likely to leave a telecom service and offer them discounts. It's a classic binary classification problem with a clear business outcome. 🎯 #DataTalksClub #BusinessAnalytics

Data distribution matters! My car price data had a long tail, which is bad news for ML models. A logarithmic transformation was the key to normalizing it. Never underestimate the power of solid data prep! 📊 #MLZoomcamp #DataTalksClub #DataScience

This week on #MLZoomcamp a car price prediction model! 🚗Built a linear regression model 📈 from scratch to predict vehicle MSRP. From data cleaning and EDA to regularization, it was an incredible learning journey. #DataTalksClub #LearningInPublic #Regression #MachineLearning

ML projects need a plan! Learning the CRISP-DM lifecycle:
📈 Business Goal -> 📊 Data -> 🧹 Prep -> 🤖 Model -> ✅ Evaluate -> 🚀 Deploy.

It's a cycle, not a straight line! Loving this structured approach.
#MachineLearning #Process #MLZoomcamp #DataTalksClub

Machine Learning Zoomcamp journey! 🤖 The core concept? Let the machine find the patterns in the data. We provide the examples, it learns the rules. Mind-blowing stuff! 🤯 #MachineLearning #MLZoomcamp #DataTalksClub

Finished Module 3 of the #LLMZoomcamp 🚀

We covered the entire offline evaluation pipeline: from generating a ground truth dataset to assessing performance with metrics like MRR, Hit Rate, and Cosine Similarity, plus the fascinating LLM-as-a-Judge approach.

#LLMZoomcamp #RAG #LLM #Evaluation