Awesome Data Analysis
Section: Awesome Data Science Repositories · Microsoft's data science curriculum.
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Appears in 4 awesome lists
10-week, 20-lesson curriculum on data science fundamentals. Covers data preparation, visualization, modeling, and deployment with practical projects.
Section: Awesome Data Science Repositories · Microsoft's data science curriculum.
Section: What is Data Science? · Microsoft are pleased to offer a 10-week, 20-lesson curriculum all about Data Science.
Section: AI
Section: 14. Resources & Learning · 10-week, 20-lesson curriculum on data science fundamentals. Covers data preparation, visualization, modeling, and deployment with practical projects.
robot: The free, Open Source alternative to OpenAI, Claude and others. Self-hosted and local-first. Drop-in replacement for OpenAI, running on consumer-grade hardware. No GPU required. Runs gguf, transformers, diffusers and many more models architectures. Features: Generate Text, Audio, Video,…
Test your prompts, models, RAGs. Evaluate and compare LLM outputs, catch regressions, and improve prompt quality. LLM evals for OpenAI/Azure GPT, Anthropic Claude, VertexAI Gemini, Ollama, Local & private models like Mistral/Mixtral/Llama with CI/CD
An open source DataScience repository to learn and apply for real world problems.
Practical Deep Learning for Coders 2022 is a free course offering hands-on experience in building, training, and deploying deep learning models across various domains using tools like PyTorch and fastai, suitable for those with coding knowledge and without the need for advanced math.
This guide introduces Prompt Engineering, a discipline that optimizes interactions with Large Language Models, offering extensive resources, research, and tools.
Beginner-friendly 12-week artificial intelligence curriculum with 24 ordered lessons, quizzes, labs, and practical notebooks covering symbolic AI, deep learning, computer vision, NLP, reinforcement learning, and AI ethics.
Free LLM course with roadmap-style progression and practical Colab notebooks.
Open Source Society University's self-study path.