tasnim2025's Stars
serodriguez68/designing-ml-systems-summary
A detailed summary of "Designing Machine Learning Systems" by Chip Huyen. This book gives you and end-to-end view of all the steps required to build AND OPERATE ML products in production. It is a must-read for ML practitioners and Software Engineers Transitioning into ML.
DataExpert-io/data-engineer-handbook
This is a repo with links to everything you'd ever want to learn about data engineering
letthedataconfess/Data-Engineering-Books
data-burst/data-engineering-roadmap
DataTalksClub/data-engineering-zoomcamp
Free Data Engineering course!
ageron/handson-ml3
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
h9-tect/AI-cheatsheets
h9-tect/Graduation_projects-idea
h9-tect/ML-DL_Roadmap.
jlevy/the-art-of-command-line
Master the command line, in one page
amueller/introduction_to_ml_with_python
Notebooks and code for the book "Introduction to Machine Learning with Python"