Book5_Essentials-of-Probability-and-Statistics and Book6_First-Course-in-Data-Science

These are ecosystem siblings within the "鸢尾花书" (Iris Book) series—Book 5 covers probability and statistics foundations while Book 6 applies those concepts to practical data science, forming a sequential learning progression rather than alternatives.

Maintenance 6/25
Adoption 10/25
Maturity 8/25
Community 25/25
Maintenance 6/25
Adoption 10/25
Maturity 8/25
Community 24/25
Stars: 3,591
Forks: 737
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License:
Stars: 2,613
Forks: 465
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License:
No License No Package No Dependents
No License No Package No Dependents

About Book5_Essentials-of-Probability-and-Statistics

Visualize-ML/Book5_Essentials-of-Probability-and-Statistics

Book_5_《统计至简》 | 鸢尾花书:从加减乘除到机器学习;上架!

This resource, "Essentials of Probability and Statistics," helps anyone looking to grasp fundamental statistical concepts, especially those aiming to understand machine learning better. It takes complex ideas and presents them simply, building from basic arithmetic to statistical reasoning. Individuals interested in data science, machine learning, or quantitative analysis will find this book a valuable starting point.

statistics-education machine-learning-fundamentals data-science-learning quantitative-literacy mathematics-for-ml

About Book6_First-Course-in-Data-Science

Visualize-ML/Book6_First-Course-in-Data-Science

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!

This resource helps individuals understand the foundational concepts of data science and machine learning, starting from basic arithmetic operations. It provides a structured learning path, allowing users to input their current understanding of mathematics and progress towards more complex data science topics. The primary users are self-learners, students, or professionals looking to transition into data science.

data-science-education machine-learning-basics statistical-learning self-study career-transition

Scores updated daily from GitHub, PyPI, and npm data. How scores work