fucking-awesome-datascience

Mindmap on required skills 🌎 img )

🌎 Choosing the Right Estimator

Data Science Wars: R vs Python

Data Science Venn Euler Diagram

By 🌎 Data Science Central

How to select statistical or machine learning techniques

Roadmap to becoming an Artificial Intelligence Expert

Job board focused on AI/ML engineering roles with 5,400+ listings and a free REST API.

AutoML to easily produce accurate predictions for image, text, tabular, time-series, and multi-modal data

Open-source Python framework for creating reproducible, maintainable data science code

Experiment tracking, dataset versioning, and model management

Python library for data-centric AI and automatically detecting various issues in ML datasets

Explaining the predictions of any machine learning classifier

Open-source data-intensive machine learning platform with a feature store. Ingest and manage features for both online (MySQL Cluster) and offline (Apache Hive) access, train and serve models at scale.

Microsoft are pleased to offer a 10-week, 20-lesson curriculum all about Data Science.

The story of how data scientists became sexy is mostly the story of the coupling of the mature discipline of statistics with a very young one--computer science. The term “Data Science” has emerged only recently to specifically designate a new profession that is expected to make sense of the vast stores of big data. But making sense of data has a long history and has been discussed by scientists, statisticians, librarians, computer scientists and others for years. The following timeline traces the evolution of the term “Data Science” and its use, attempts to define it, and related terms.

AI industry research and analysis with papers on AI pricing, enterprise adoption, and evaluation frameworks.

ML,DL,Data Science blog

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Production-ready AI agent development kit for Rust with model-agnostic design (Gemini, OpenAI, Anthropic), multiple agent types (LLM, Graph, Workflow), MCP support, and built-in telemetry.

Open-source LLM and agent evaluation framework with 50+ metrics, LLM-as-Judge augmentation, and guardrail scanners (jailbreak, PII, prompt-injection). Useful for scoring RAG outputs, agent trajectories, and function-calling behavior in data-science workflows.

61 production-ready AI API tools for data science workflows: code analysis, web scraping, NLP, image generation, crypto data, and search. REST API and MCP protocol support.

Data science author