After hundreds of Kaggle competitions and years of trial, error, and wins, our team @ChrisDeotte @The0Viel @0verfit @giba1, have compiled a playbook for tabular modeling—a system that’s carried us to the top of leaderboards and held up on real-world data. https://t.co/0ZM9NnS0CI

Finished the Agents & MCP Workshop in #LLMZoomcamp @DataTalksClub - Learned about agentic RAG, function calling, and MCP for multi-agent orchestration. - Built agent tools & tested workflows #AI #Agents #RAG #MCP

Just finished the Data Ingestion Module Workshop from #LLMZoomcamp @DataTalksClub ✅ Built ELT pipelines with dlt ✅ Created a knowledge graph with Cognee ✅ Tagged concepts with Node Sets ✅ Made API docs searchable

MLOps Zoomcamp Module 6 on Best Practices! 🚀 @DataTalksClub Learned: ✅ Unit & integration testing with pytest ✅ Mocking cloud services with LocalStack ✅ Code quality with pre-commit hooks ✅ Workflow automation with Makefiles ✅ CI/CD with GitHub Actions #mlops #zoomcamp

📊 Week 2 of #LLMZoomcamp @DataTalksClub • Convert text to vector embeddings with FastEmbed • Calculate semantic similarity • Build a searchable vector db with @qdrant_engine • Compare different embedding models and dimensions • Optimize search by combining text fields

Just completed Module 1 of #LLMZoomcamp @DataTalksClub! 🚀 Built a complete RAG pipeline using Elasticsearch & OpenAI. Learned to: • Index & search documents with field boosting • Create context-aware prompts • Optimize for token usage & costs

✅ Module 5 of #MLOpsZoomcamp @DataTalksClub Built a full monitoring stack using Docker, Grafana, PostgreSQL, and Evidently. Tracked prediction drift on NYC taxi data, orchestrated with Prefect. Monitoring isn’t optional. It’s essential. #MLOps #MachineLearning #DataDrift

Just finished MLOps Zoomcamp Module 4: Deployment! 🚀 ✅ Built batch inference for NYC taxi trip predictions ✅ Containerized with Docker ✅ Added cloud storage integration ✅ Orchestrated with Prefect #MLOps #DataScience #MachineLearning

🚀 Just completed Module 3 of #MLOpsZoomcamp @DataTalksClub! ✅ Prefect for workflow orchestration ✅ Docker containers for reproducibility ✅ MLflow for experiment tracking One step closer to production-ready #MLOps skills! #DataScience #MachineLearning

✅ Finished MLOps Zoomcamp Module 2: Built NYC taxi trip prediction system with MLflow tracking, hyperopt tuning & model registry on SQLite backend. Thanks @DataTalksClub & @Al_Grigorev for this practical MLOps journey! #MLOps #DataScience #MLflow

✅ Just wrapped up Module 1 of the MLOps Zoomcamp by @DataTalksClub! 🔹 Built an ML model to predict NYC taxi trip durations 🔹 Data prep, feature engineering & model training with scikit-learn 🔹 Evaluated on train/val sets On to experiment tracking next! 🚀 #MLOps

🚀 𝗙𝗶𝗻𝗮𝗹 𝗣𝗿𝗼𝗷𝗲𝗰𝘁: Premier League Football Prediction- mlzoomcamp-datatalksclub https://t.co/aaG4ihy75z #MachineLearning #DeepLearning #FootballPrediction #DataScience #ML #DataScience #SportsAnalytics #PremierLeague #DataTalksClub

I had a blast this year! My first time finishing Advent of Code. Learned new tricks and enjoyed interacting with the community. A must-try for anyone into coding and problem-solving I just completed all 25 days of Advent of Code 2024! https://t.co/3pS6fL712H #AdventOfCode

Today was challenging part 2. I came across many visual approaches and tried using Graphviz, which was cool. I learned something new and managed to solve it both way I've completed "Crossed Wires" - Day 24 - Advent of Code 2024 https://t.co/vyYpuyQWll #AdventOfCode

I've completed "LAN Party" - Day 23 - Advent of Code 2024 https://t.co/Oucc4q44F3 #AdventOfCode

I've completed "Monkey Market" - Day 22 - Advent of Code 2024 https://t.co/opnLDoRNqo #AdventOfCode

I've completed "Keypad Conundrum" - Day 21 - Advent of Code 2024 https://t.co/zoEFxejYeA #AdventOfCode

I've completed "Race Condition" - Day 20 - Advent of Code 2024 https://t.co/BV55R5xWRf #AdventOfCode

I've completed "Linen Layout" - Day 19 - Advent of Code 2024 https://t.co/s0hQUDpUU7 #AdventOfCode

🚀 Kubernetes in MLZoomCamp Week 10! From managing containerized apps to auto-scaling with HPA, K8s is a game changer for cloud-native development. 🖥️💡 Using kubectl for resource management and kind for local testing has made deployment so much easier: https://t.co/dVxjZlLP65