机器学习(Machine Learning, ML)python简洁实现，包括混合高斯模型，KMeans，决策树，随机森林，K近邻，线性判别分析，逻辑斯蒂回归（梯度下降法，牛顿法），多层感知机（分类+回归），Naive Bayes（离散+高斯），多分类SVM，线性回归，隐马尔可夫模型（包括前向算法，后向算法，Viterbi算法和BaumWelch算法），主成分分析等模型
☆156Jun 19, 2021Updated 5 years ago
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