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[机器学习] Machine Learning in Action (Python)
说明: Part 1: Classification 1 Machine learning basics 2 Classifying with k-nearest neighbors 3 Splitting datasets one feature at a time: decision trees 4 Classifying with probability distributions: Na�ve Bayes 5 Logistic regression 6 Support vector machi<shs867> 上传 | 大小:6mb