alexeygrigorev

Data Engineering Zoomcamp: A Free 9-Week Course on Data Engineering Fundamentals (47k stars) What it does All text below is quoted directly from the project README. >Data Engineering Zoomcamp is a free 9-week course on building production-ready data pipelines. Join the course here Syllabus: - Module 1: Containerization and Infrastructure as Code - Module 2: Workflow Orchestration - Workshop 1: Data Ingestion - Module 3: Data Warehousing - Module 4: Analytics Engineering - Module 5: Data Platforms - Module 6: Batch Processing - Module 7: Streaming >This course is for developers, analysts, and data scientists who want to learn how to build data pipelines and work with the modern data engineering stack. No prior data engineering experience is necessary. Repository DataTalksClub/data-engineering-zoomcamp Repository stats |Metric|Value| |:-|:-| |Stars|46,510| |Forks|9.0k| |Last release|None| |Languages|Jupyter Notebook 70%, Python 18.7%, Java 9.5%| |Contributors|206| |AI contributor accounts (Claude / Codex / Cursor / Copilot)|@Copilot (6 commits)| |AI co-authored commits|Copilot: 6| Main contributor |Field|Value| |:-|:-| |Name|Alexey Grigorev| |GitHub|@alexeygrigorev| |Commits to this repo|721 (top contributor)| |Bio|Running @DataTalksClub and hacking some personal projects| |Company / Location|Berlin, Germany| |Followers|6.3k| ────────────────────────────── 📌 How many great GitHub repos have you discovered and completely forgotten about? Don't let another useful tool disappear into your Reddit feed. Get the community's best repos, organized by category, plus key takeaways from real developer discussions, delivered to your inbox twice a week. 📬 Never lose track of great repos again. Subscribe free.

Machine Learning Zoomcamp: A Free Course on ML Engineering (15k stars) What it does All text below is quoted directly from the project README. >Learn ML engineering for free in 4 months! Register here Who Should Join: - Already have programming experience and want to move into machine learning engineering. - Want a structured introduction to machine learning without assuming prior ML knowledge. - Want to understand both model development and production deployment. - Learn best by completing homework and building end-to-end projects. - Want portfolio projects that demonstrate practical machine learning skills. - Benefit from cohort deadlines, community support, peer review, and certificate eligibility. >Frame the problem, prepare the data, train and evaluate the model, expose it through an API, package it, and deploy it. Repository DataTalksClub/machine-learning-zoomcamp Repository stats |Metric|Value| |:-|:-| |Stars|14,862| |Forks|3.3k| |Last release|dl-models (2025-08-15)| |Languages|Jupyter Notebook 97.7%, Python 1.8%, Other 0.5%| |Contributors|136| |AI contributor accounts (Claude / Codex / Cursor / Copilot)|@Copilot (2 commits)| |AI co-authored commits|Copilot: 2| Main contributor |Field|Value| |:-|:-| |Name|Alexey Grigorev| |GitHub|@alexeygrigorev| |Commits to this repo|1,323 (top contributor)| |Bio|Running @DataTalksClub and hacking some personal projects| |Company / Location|Berlin, Germany| |Followers|6.3k| ────────────────────────────── 📌 How many great GitHub repos have you discovered and completely forgotten about? Don't let another useful tool disappear into your Reddit feed. Get the community's best repos, organized by category, plus key takeaways from real developer discussions, delivered to your inbox twice a week. 📬 Never lose track of great repos again. Subscribe free.

4 free GitHub repos to crack ML interviews ML interview coming up? These 4 free GitHub repos cover the questions: MLQuestions, data-science-interviews, Chip Huyen's ML Interviews Book and AIMLInterviews (GenAI system design, updated for 2026). Our take: For Indian freshers, finishing one of these repos out loud beats saving all four and opening none before placements. 1. andrewekhalel/MLQuestions 2. alexeygrigorev/data-science-interviews 3. chiphuyen/ml-interviews-book 4. alirezadir/AIMLInterviews Daily AI explainers on Instagram: instagram.com/theinferenceai.tech Free: 50 LLM interview questions PDF: harshal-dharpure.kit.com Voiceover: AI-generated (TTS) #mlinterview #machinelearning #github #placementprep

And here's my repo: alexeygrigorev/gmail-memory-assistant