Visualize-ML / Book2_Beauty-of-Data-VisualizationLinks
Book_2_《可视之美》 | 鸢尾花书:从加减乘除到机器学习,欢迎批评指正
☆3,516Updated last week
Alternatives and similar repositories for Book2_Beauty-of-Data-Visualization
Users that are interested in Book2_Beauty-of-Data-Visualization are comparing it to the libraries listed below
Sorting:
- Book_5_《统计至简》 | 鸢尾花书:从加减乘除到机器学习;上架!☆3,515Updated last week
- Book_7_《机器学习》 | 鸢尾花书:从加减乘除到机器学习;欢迎批评指正☆3,118Updated last week
- Book_6_《数据有道》 | 鸢尾花书:从加减乘除到机器学习;欢迎大家批评指正!纠错多的同学会得到赠书感谢!☆2,536Updated last week
- FRM七本书配套代码☆656Updated last year
- Book_1_《编程不难》 | 鸢尾花书:从加减乘除到机器学习;请多多批评指正!☆6,570Updated last week
- Book_3_《数学要素》 | 鸢尾花书:从加减乘除到机器学习;上架;欢迎继续纠错,纠错多的同学还会有赠书!☆7,268Updated last week
- Book_4_《矩阵力量》 | 鸢尾花书:从加减乘除到机器学习;上架!☆9,718Updated last week
- ”数学不难“ 之 《概率统计不难》;先占个坑,请大家多支持,希望不弃坑☆219Updated 4 months ago
- ”数学不难“ 之 《线性代数不难》上下册,66话题完册;欢迎批评指正☆1,234Updated 3 months ago
- 合并《鸢尾花书》系列丛书pdf文件,并添加章节书签☆92Updated 2 years ago
- 用python学透线性代数和微积分☆131Updated 3 years ago
- Approaching (Almost) Any Machine Learning Problem中译版,在线文档地址:https://ytzfhqs.github.io/AAAMLP-CN/☆1,916Updated last week
- 《Python官方手册解析:基于Python 3.11》☆24Updated 2 years ago
- source code used in my uploaded videos☆139Updated 2 years ago
- 鸢尾花书系列自动合并工具☆13Updated 2 years ago
- 《数学建模导论》教程,全网最全数学建模模型与算法教程系列,带你走进数学建模的大门!☆735Updated last year
- This is the guide for learning applied statistics.☆285Updated last year
- 磁悬浮青蛙呱呱呱,工程师视角下的高中数学。☆332Updated 4 months ago
- MIT Gilbert Strang教授的线性导数导论笔记,包含全中文书本内容和视频笔记☆364Updated 2 years ago
- https://hml.boyuai.com☆542Updated 2 years ago
- 温州大学《机器学习》课程资料(代码、课件等)☆2,018Updated 2 months ago
- 《神经网络与深度学习》案例与实践☆1,149Updated 3 years ago
- Graphic notes on Gilbert Strang's "Linear Algebra for Everyone", 线性代数的艺术中文版, 欢迎PR.☆5,372Updated last year
- MLNLP: Notes for MIT-Linear-Algebra☆3,562Updated 2 years ago
- 聪明办法学Python,简明且系统的 Python 入门教程第二版。☆356Updated 11 months ago
- UnderstandingDeepLearing中文翻译☆126Updated last year
- 巨硬的NumPy☆457Updated last year
- 转码路线图 - 这不是计算机自学指南,这也不是Leetcode刷题指南,这是你的转码指南。用最少的课建立计算机框架、掌握转码面试基本技能。全部跟下来大概需要 200 小时, 即 3 - 4 个月时间。☆182Updated 2 years ago
- 华章数学丛书 高清扫描☆467Updated 2 years ago
- MIT OCW 微积分重点的学习笔记☆61Updated 2 years ago