fengdu78/Data-Science-Notes

数据科学的笔记以及资料搜集

Data-Science-Notes 是一个数据科学学习笔记与资料合集，目前仍在更新中。内容按主题分为多个文件夹，覆盖从数学基础到深度学习的完整路径：

  • 0.math：数学基础
  • 1.python-basic：Python基础
  • 2.numpy：NumPy基础
  • 3.pandas：Pandas基础
  • 4.scipy：SciPy基础
  • 5.data-visualization：数据可视化（含Matplotlib和Seaborn）
  • 6.scikit-learn：Scikit-learn基础
  • 7.machine-learning：机器学习基础
  • 8.deep-learning：深度学习基础
  • 9.feature-engineering：特征工程基础

项目参考了李航《统计学习方法》、多个GitHub仓库（如donnemartin/data-science-ipython-notebooks、apachecn/feature-engineering-for-ml-zh、datawhalechina/pumpkin-book等）以及Coursera和果壳网课程笔记。作者是fengdu78，维护有微信公众号“机器学习初学者”和知乎账号，并提供了QQ学习群。若GitHub下载慢，可通过公众号回复“学习路线”获取镜像文件。引用格式已在README中给出。

Related

  • Project
    jeecgboot/jimureport

    JimuReport is a free, open‑source Java‑based BI suite (Spring Boot starters) that lets users design reports, dashboards, and big‑screen displays via drag‑and‑drop. It adds an AI assistant (Claude Code or any OpenAI‑compatible model) that can generate or modify visualisations from natural‑language prompts, including a conversational Chat2BI interface. Supports 30+ data sources (including Chinese “信创” databases), mobile rendering, printing, and data entry. Licensed under LGPL 3 with optional commercial licensing.

  • Project
    vaexio/vaex

    Vaex is a high-performance Python library for exploring and visualizing massive tabular datasets that are too large to fit in memory, using lazy evaluation and memory mapping to process billions of rows per second on a standard machine.

  • Project
    mage-ai/mage-ai

    A self-hosted development environment for building and orchestrating modular, production-grade data pipelines using a notebook-style interface.

  • Project
    clips/pattern

    Pattern is an archived Python web-mining module offering data mining, NLP, machine learning, and network analysis tools. It supports Python 2.7/3.6, installs via pip, and is BSD-licensed — but is no longer maintained.