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hoangduy0723's Projects

100-days-of-angular icon 100-days-of-angular

Series độc quyền cung cấp bởi thành viên của Angular Vietnam về các chủ đề liên quan tới Angular trong vòng 100 ngày.

applied-ml icon applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

awesome-nlp icon awesome-nlp

:book: A curated list of resources dedicated to Natural Language Processing (NLP)

best-of-ml-python icon best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

coursera-ml-py icon coursera-ml-py

Python programming assignments for Machine Learning by Prof. Andrew Ng in Coursera

cracking-the-coding-interview icon cracking-the-coding-interview

Solutions (in C++) to selected problems from the book "Cracking the Coding Interview, 4th Edition - 150 Programming Interview Questions and Solutions".

d2l-en icon d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 200 universities.

d2l-vn icon d2l-vn

Một cuốn sách về Học Sâu đề cập đến nhiều framework phổ biến (TF, Pytorch & MXNet) và được sử dụng trên 175 trường Đại học.

database-books icon database-books

"Computing should be taught as a rigorous - but fun - discipline covering topics like programming, database structures, and algorithms. That doesn't have to be boring." -- Geoff Mulgan

devops-exercises icon devops-exercises

Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions

freecodecamp icon freecodecamp

freeCodeCamp.org's open source codebase and curriculum. Learn to code at home.

go icon go

The Open Source Data Science Masters

handson-ml icon handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

handson-ml2 icon handson-ml2

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.

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