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36 lines
1.9 KiB
36 lines
1.9 KiB
# 实训推荐
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与本书相关的案例均可以在平台进行体验，名称与链接如下：
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| 名称 | 链接 |
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|------|------|
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| 《机器学习》---绪论 | https://www.educoder.net/shixuns/4fhemfr9/challenges |
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|《机器学习》---模型评估与选择|https://www.educoder.net/shixuns/cbsfh3r5/challenges|
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|《机器学习》---聚类性能评估指标|https://www.educoder.net/shixuns/e4pmtfly/challenges|
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|《机器学习》---线性回归|https://www.educoder.net/shixuns/4awq25iv/challenges|
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|《机器学习》---逻辑回归|https://www.educoder.net/shixuns/tw9up75v/challenges|
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|《机器学习》---多分类学习|https://www.educoder.net/shixuns/bfyloih4/challenges|
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|《机器学习》---kNN算法|https://www.educoder.net/shixuns/aw9bxy75/challenges|
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|《机器学习》---决策树|https://www.educoder.net/shixuns/hl7wacq5/challenges|
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|《机器学习》---随机森林|https://www.educoder.net/shixuns/ya8h7utx/challenges|
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|《机器学习》---朴素贝叶斯分类器|https://www.educoder.net/shixuns/uyl5pk2q/challenges|
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|《机器学习》---支持向量机|https://www.educoder.net/shixuns/b6yi97f2/challenges|
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|《机器学习》---随机森林|https://www.educoder.net/shixuns/ya8h7utx/challenges|
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|《机器学习》---k-means|https://www.educoder.net/shixuns/k6fp4saq/challenges|
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|《机器学习》---AGNES|https://www.educoder.net/shixuns/qy9gozt8/challenges|
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|泰坦尼克号生还预测|https://www.educoder.net/shixuns/kz3fixv9/challenges|
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|共享单车之租赁需求预估|https://www.educoder.net/shixuns/z8flchq9/challenges|
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|罗斯福国家森林树木类型识别|https://www.educoder.net/shixuns/racsth3x/challenges|
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|美国教育数据分析|https://www.educoder.net/shixuns/5w9fb6hi/challenges|
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|人脸识别系统|https://www.educoder.net/paths/130|
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也可通过扫码查看整套课程，二维码如下:
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<div align=center><img src="./img/1562573820.png", height="250" width="250"/></div>
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