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classification icon classification

最大似然估计,平滑核函数,朴素贝叶斯,最近邻决策

fantastic-matplotlib icon fantastic-matplotlib

Matplotlib中文教程,在线阅读地址:https://datawhalechina.github.io/fantastic-matplotlib/

load_boston icon load_boston

使用正规方程、梯度下降和岭回归分别进行波士顿房价预测实践

machinlearningproject icon machinlearningproject

学习吴恩达视频,完成一个小project。使用梯度下降、正则化、神经网络进行房价的预测。使用python中的numpy、scipy、pandas以及matplotlib完成编程的实现。

mltemplate icon mltemplate

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

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