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Akramz

Hands-on-Machine-Learning-with-Scikit-Learn-Keras-and-TensorFlow

Notes & exercise solutions of Part I from the book: "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" by Aurelien Geron

TutorialsML/AI fundamentalsJupyter Notebook
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创建于 2019-09-27 · 更新于 2026-10-07 · 今日第 11736 名
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Akramz

Akramz/Hands-on-Machine-Learning-with-Scikit-Learn-Keras-and-TensorFlow 排名第 11,736，有 1,075 个星标。

同类别比较

Akramz/Hands-on-Machine-Learning-with-Scikit-Learn-Keras-and-TensorFlow 排名第 11,736，此处有 8 个同类条目；Devinterview-io/llms-interview-questions 排名第 11,737。

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关键参数与规格
关键参数与规格
参数值
语言Jupyter Notebook
类别Tutorials
子类别ML/AI fundamentals
星标数1,075
分叉数421
贡献者1
创建日期2019-09-27
更新日期2026-10-07
1 天星标数0
7 天星标数0
排名11,736
上次排名11,666
排名变化-70
7 天星标排名13,118
上次 7 天星标排名13,140
7 天星标排名变化22
总星标排名10,550
上次总星标排名10,535
总星标排名变化-15
国家Morocco
README 摘录

Hands-on ML with Scikit-Learn, Keras & TF by Aurelien Geron This repo is home to notes & code that accompanies Part 1 of Aurelien Geron's "Hands-on ML with Scikit-Learn, Keras & TF" book. The book provides a comprehensive overview of data science, machine learning (with ), and deep learning (with ). The Book assumes you know close to nothing about machine learning. It uses production-ready Python frameworks such as: The author favors a hands-on approach through a series of

working examples and just a little bit of theory. Prerequesites: Some Python programming experience Familiarity with NumPy, Pandas, and Matplotlib A reasonable understanding of college-level math (calculus, probability, Linear Algebra, and statistics) The first part of the book is mostly based on , while the 2nd part is using .

常见问题

记录了多少星标和分叉？

Akramz/Hands-on-Machine-Learning-with-Scikit-Learn-Keras-and-TensorFlow 有 1,075 个星标和 421 个分叉。

仓库排名是多少？

Akramz/Hands-on-Machine-Learning-with-Scikit-Learn-Keras-and-TensorFlow 排名第 11,736。

记录的语言和类别是什么？

Akramz/Hands-on-Machine-Learning-with-Scikit-Learn-Keras-and-TensorFlow 有 1,075 个星标，语言为 Jupyter Notebook，类别为 Tutorials。

哪个仓库排名最接近？

Akramz/Hands-on-Machine-Learning-with-Scikit-Learn-Keras-and-TensorFlow 与 Devinterview-io/llms-interview-questions 比较，后者排名第 11,737，有 1,075 个星标。

README

Hands-on ML with Scikit-Learn, Keras & TF by Aurelien Geron

This repo is home to notes & code that accompanies Part 1 of Aurelien Geron's "Hands-on ML with Scikit-Learn, Keras & TF" book. The book provides a comprehensive overview of data science, machine learning (with scikit-learn), and deep learning (with tensorflow).

The Book assumes you know close to nothing about machine learning. It uses production-ready Python frameworks such as:

  • Scikit-Learn
  • Keras
  • TensorFlow

The author favors a hands-on approach through a series of working examples and just a little bit of theory. Prerequesites:

  • Some Python programming experience
  • Familiarity with NumPy, Pandas, and Matplotlib
  • A reasonable understanding of college-level math (calculus, probability, Linear Algebra, and statistics)

The first part of the book is mostly based on Scikit-Learn, while the 2nd part is using Keras/TensorFlow.

Roadmap

The Fundamentals of Machine Learning

We provide links for the available notebooks:

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