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31 lines
1.3 KiB
31 lines
1.3 KiB
# 机器学习
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* [简介](README.md)
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* [机器学习概述](machine_learning.md)
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* [常见机器学习算法](algorithm.md)
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* [近朱者赤近墨者黑-kNN](kNN.md)
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* [最简单的回归算法-线性回归](linear_regression.md)
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* [使用回归的思想进行分类-逻辑回归](logistic_regression.md)
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* [最接近人类思维的算法-决策树](decision_tree.md)
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* [群众的力量是伟大的-随机森林](random_forest.md)
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* [物以类聚人以群分-kMeans](kMeans.md)
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* [以距离为尺-AGNES](AGNES.md)
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* [模型评估指标](metrics.md)
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* [分类性能评估指标](classification_metrics.md)
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* [回归性能评估指标](regression_metrics.md)
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* [聚类性能评估指标](cluster_metrics.md)
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* [使用sklearn进行机器学习](sklearn.md)
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* [综合实战案例]()
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* [泰坦尼克生还预测]()
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* [简介](./titanic/introduction.md)
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* [探索性数据分析(EDA)](./titanic/EDA.md)
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* [特征工程](./titanic/feature engerning.md)
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* [构建模型进行预测](./titanic/fit and predict.md)
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* [调参](./titanic/tuning.md)
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* [使用强化学习玩乒乓球游戏]()
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* [什么是强化学习](./pingpong/what is reinforce learning.md)
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* [Policy Gradient原理](./pingpong/Policy Gradient.md)
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* [使用Policy Gradient玩乒乓球游戏](./pingpong/coding.md)
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* [实训推荐](recommand.md)
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