Git-Cheatsheet - List of commands

Ranking | Similarity | Seaches

What can I do with a LLM model?

Learn it by doing it - E2E projects - From PoC to Deployment

Optimising train, inference and throughput of expensive ML models

Notes, tutorials, code snippets and templates focused on Quantum Computing

Notes, tutorials, code snippets and templates focused on Features Correlation | Selection | Importance | Engineering for Machine Learning

Resources to help you become a FSDS - Full Stack Data Scientist

Links to free (mostly?) resources for learning about Data Science

Checklist for Machine Learning Projects

Notes, tutorials, code snippets and templates focused on Time Series for Machine Learning

Parallel computing, cython, numba, multi-processing and multi-threading in python

How to deploy your ML projects. Full-stack production ML.

Notes, tutorials, code snippets and templates focused on SQL

GPUs cluster for Machine Learning

Notes, tutorials, code snippets and templates focused on Pandas for Machine Learning

Python programming tutorials | lessons | code snippets | curiosities | study notes

Docker-Notes

🐍📝Template for your Python project🐍📝

Awesome ML Lessons Learnt

An E2E MLOPs project focused on deploying and serving a fine-tuned transformer on a NLP classification task

Kubernetes-Notes

Flask Notes & Tutorials

Notes, tutorials, code snippets and templates focused on ETL pipelines for Machine Learning

💱Machine Learning, Artificial Intelligence, Data Science for Finance💱

Linux and shell scripting cheatsheet