> For the complete documentation index, see [llms.txt](https://varyshare.gitbook.io/easy-machine-leaning/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://varyshare.gitbook.io/easy-machine-leaning/master.md).

# 适合初学者的机器学习\[目录]

[\[易懂机器学习(1)\]KNN，k-Nearest Neighbor (k近邻算法）\[分类算法\]](https://app.gitbook.com/@varyshare/s/easy-machine-leaning/~/edit/drafts/-LfJ5LL0Xa7eDRP5sO8T/yi-dong-ji-qi-xue-xi-1knnknearest-neighborkjin-lin-suan-fa-fen-lei-suan-fa)

[{高中生能看懂的}再见香农，决策树的本质是什么](https://app.gitbook.com/@varyshare/s/easy-machine-leaning/~/edit/drafts/-LfNM1LN5rp03w0D2ol7/untitled)

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[{高中生能看懂的}梯度下降是个啥？](/easy-machine-leaning/easy_knn/untitled-7.md)
{% endcontent-ref %}

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[{高中生能看懂的}再见香农，决策树的本质是什么](/easy-machine-leaning/untitled.md)
{% endcontent-ref %}

{% content-ref url="/pages/-LwvnVpzzOIYWVdvTReC" %}
[挖掘商品关联性(2):  FP-growth算法](/easy-machine-leaning/untitled-2.md)
{% endcontent-ref %}

{% content-ref url="/pages/-LwvnQjJcdTgHF2R3k70" %}
[5分钟理解PCA主成分分析](/easy-machine-leaning/untitled-1.md)
{% endcontent-ref %}

{% content-ref url="/pages/-LwvnZZsYLlTdJUs5xbq" %}
[啤酒与尿布？机器学习之Apriori算法挖掘商品之间的关联性Python实现](/easy-machine-leaning/untitled-3.md)
{% endcontent-ref %}

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[机器学习算法之k-means(k均值)Python代码实现](/easy-machine-leaning/untitled-4.md)
{% endcontent-ref %}

{% content-ref url="/pages/-Lwvo44wrZj1n5N5h2Vh" %}
[易懂的神经网络理论到实践(1)：单个神经元+随机梯度下降学习逻辑与规则](/easy-machine-leaning/untitled-8.md)
{% endcontent-ref %}

{% content-ref url="/pages/-Lwvnrp4RTyrxALFNyBB" %}
[\[易懂\]如何理解论文中的那些评估方法性能指标概念名词{召回率 ROC AUC 交叉验证}](/easy-machine-leaning/untitled-6.md)
{% endcontent-ref %}