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  1. Machine-learning-Sec.3 Machine-learning-Sec.3 Public

    全球新冠肺炎的数据分析,包括基础知识有:kmeans算法设计,SSE算法设计,分级聚类算法设计,cophenetic distance 算法设计。

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  2. Machine-Learning-Sec.2 Machine-Learning-Sec.2 Public

    线性回归算法,close-form, batch 梯度下降,mini-batch 梯度下降,随机梯度下降,RMSE

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  3. Machine-Learning-Sec.1 Machine-Learning-Sec.1 Public

    评价模型好坏指标,混淆矩阵等。

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  4. Outlier-Detection Outlier-Detection Public

    To implement/apply different outlier detection techniques to different datasets. 异常点检测算法的设计

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  5. Machine-Learning-Sec.4 Machine-Learning-Sec.4 Public

    人脸识别项目,知识点包括特征脸提取,KNN和SVM算法

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  6. Machine-Learning-Sec.5 Machine-Learning-Sec.5 Public

    构建ANN结构,完成预测。测试每个不同参数对预测效果的影响。

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