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scikit-learn sklearn 0.18 官方文档中文版
2022-04-23 05:47:00 【峰爷520】
ApacheCN（Apache中文网）- 关于我们 : http://cwiki.apachecn.org/pages/viewpage.action?pageId=10813869
ApacheCN cwiki 地址为 scikit-learn 0.18 中文文档 : http://cwiki.apachecn.org/pages/viewpage.action?pageId=10030181
sklearn : 基于 Python 语言的，简单高效的数据挖掘和数据分析工具，建立在 NumPy，SciPy 和 matplotlib 上。
此外，Apache Spark 2.2.0 官方文档中文版，开始采用 github 迭代维护的方式来更新，欢迎大家一起来迭代维护，地址为 https://github.com/apachecn/spark-doc-zh。
以下是 sklearn 官方文档中文版，如果你也有兴趣，欢迎来一起来维护迭代。
- 快速入门
- 用户指南
- 监督学习
- Generalized Linear Models ( 广义线性模型 )
- Linear and Quadratic Discriminant Analysis ( 线性和二次判别分析 )
- Kernel ridge regression ( 内核岭回归 )
- Support Vector Machines（支持向量机, SVM）
- Stochastic Gradient Descent ( 随机梯度下降 )
- Nearest Neighbors ( 最近邻 )
- Gaussian Processes（高斯过程）
- Cross decomposition（交叉分解）
- Naive Bayes ( 朴素贝叶斯 )
- Decision Trees（决策树）
- Ensemble methods（集成方法）
- 多类和多标签算法
- 功能选择
- 半监督
- 等式回归
- 概率校准
- 神经网络模型（监督）
- 无监督学习
- 模型选择和评估
- 数据集转换
- 数据集加载实用程序
- 计算策略：更大的数据
- 计算性能
- 监督学习
- 教程
- API 文档
- 开发指南
- 流程图
- 相关包
- 常问问题
- 其他资源
- 其他版本
学习路线 : 机器学习基础 –> sklearn –> tensorflow（学这些之前，得先把大数据的基础搞定先，后期会组织该学习活动，期待ing。。。）
若你有任何想法或建议，请联系企鹅 : 1042658081
版权声明
本文为[峰爷520]所创，转载请带上原文链接，感谢
https://blog.csdn.net/weixin_41752427/article/details/86605084
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