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Data Science for Beginners

Appears in 4 awesome lists

10-week, 20-lesson curriculum on data science fundamentals. Covers data preparation, visualization, modeling, and deployment with practical projects.

Open github.commicrosoft/data-science-for-beginners

Found in these lists

Awesome Data Analysis

Section: Awesome Data Science Repositories · Microsoft's data science curriculum.

FreshScore 80

AWESOME DATA SCIENCE

Section: What is Data Science? · Microsoft are pleased to offer a 10-week, 20-lesson curriculum all about Data Science.

FreshScore 92

Awesome Learning

Section: AI

FreshScore 82

Awesome Open Source AI

Section: 14. Resources & Learning · 10-week, 20-lesson curriculum on data science fundamentals. Covers data preparation, visualization, modeling, and deployment with practical projects.

FreshScore 89

LocalAI

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,…

In 14 listsDetails

promptfoo

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

In 11 listsDetails

Awesome Data Science

An open source DataScience repository to learn and apply for real world problems.

In 5 listsDetails

Practical Deep Learning for Coders

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.

In 8 listsDetails

Prompt Engineering Guide

This guide introduces Prompt Engineering, a discipline that optimizes interactions with Large Language Models, offering extensive resources, research, and tools.

In 5 listsDetails

AI for Beginners

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.

In 4 listsDetails

LLM Course

Free LLM course with roadmap-style progression and practical Colab notebooks.

In 4 listsDetails

Data Science

Open Source Society University's self-study path.

In 3 lists