温州大学《机器学习》课程资料（代码、课件等）
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Few projects related to Data Engineering including Data Modeling, Infrastructure setup on cloud, Data Warehousing and Data Lake development.
- data
- data-engineering
- data-engineering-pipeline
- etl-pipeline
Curso de Python desde cero y para todos los públicos con ejercicios
Setup instructions for Le Wagon's students on their first day of Data Science Bootcamp
- setup
- python
Udemy üzerindeki Python kurslarında kullanılan materyaller
LLM&VLM Tutorial
Public repo for DeepLearning.AI MLEP Specialization
Practical tutorials and labs for TensorFlow used by Nvidia, FFN, CNN, RNN, Kaggle, AE
Exercise notebooks for Machine Learning modules on Microsoft Learn
A structured course built from personal study notes of the book Linux Basics for Hackers by OccupyTheWeb.
100 days of LLM inference engineering — daily posts, experiments, and visualizations
Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course
主要存储Datawhale组队学习中“数据挖掘/机器学习”方向的资料。
AI Infrastructure Engineer Learning Track - Production ML infrastructure curriculum (2-4 years experience)
- ai-infrastructure
- kubernetes
- machine-learning
- mlops
The repository host gives no description.
For extensive instructor led learning
- machine-learning
- scikit-learn
- linear-regression
- nearest-neighbors
Practical course about Large Language Models.
- chatbots
- hf
- huggingface
- langchain
IT 140 Module Two assignment for developing a beginner Python name-and-age program while practicing the Software Development Life Cycle (SDLC), including analysis, design, construction, testing, and debugging.
- beginner-programming
- computer-science-education
- introduction-to-programming
- programming-education
Introduction to Statistics using Python
The repository host gives no description.
Don't memorize ML. Understand it from first principles including Inference, Cuda, Deep Learning, Data Science and Reinforcement Learning
- cli
- deep-learning
- education
- from-scratch
This repo contains materials for use in a TensorFlow workshop.
TranslatedChinese tutorial for Stanford CS329Z Engineering AI Agents: an AI agent course for Python developers, with 19 lectures and 4 hands-on practices, covering LLMs, RAG, tool calling, memory, multi-agent systems, evaluation, and safety. Full Markdown, online and offline HTML. Chinese course notes.
- agent-memory
- agentic-ai
- ai-agents
- chinese
IPython notebooks on Gilbert Strang's MIT course on linear algebra (18.06)