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机器学习实战教程(13篇)
这些网址非常适合想学习机器学习,却苦于没有项目(尤其缺少数据)的人。无意中看到,给自己做一个记录。
机器学习实战教程(一):K-近邻算法(史诗级干货长文)https://cuijiahua.com/blog/2017/11/ml_1_knn.html
机器学习实战教程(二):决策树基础篇之让我们从相亲说起 https://cuijiahua.com/blog/2017/11/ml_2_decision_tree_1.html
机器学习实战教程(三):决策树实战篇之为自己配个隐形眼镜 https://cuijiahua.com/blog/2017/11/ml_3_decision_tree_2.html
机器学习实战教程(四):朴素贝叶斯基础篇之言论过滤器 https://cuijiahua.com/blog/2017/11/ml_4_bayes_1.html
机器学习实战教程(五):朴素贝叶斯实战篇之新浪新闻分类 https://cuijiahua.com/blog/2017/11/ml_5_bayes_2.html
机器学习实战教程(六):Logistic回归基础篇之梯度上升算法 https://cuijiahua.com/blog/2017/11/ml_6_logistic_1.html
机器学习实战教程(七):Logistic回归实战篇之预测病马死亡率 https://cuijiahua.com/blog/2017/11/ml_7_logistic_2.html
机器学习实战教程(八):支持向量机原理篇之手撕线性SVM https://cuijiahua.com/blog/2017/11/ml_8_svm_1.html
机器学习实战教程(九):支持向量机实战篇之再撕非线性SVM https://cuijiahua.com/blog/2017/11/ml_9_svm_2.html
机器学习实战教程(十):提升分类器性能利器-AdaBoost https://cuijiahua.com/blog/2017/11/ml_10_adaboost.html
机器学习实战教程(十一):线性回归基础篇之预测鲍鱼年龄 https://cuijiahua.com/blog/2017/11/ml_11_regression_1.html
机器学习实战教程(十二):线性回归提高篇之乐高玩具套件二手价预测 https://cuijiahua.com/blog/2017/12/ml_12_regression_2.html
机器学习实战教程(十三):树回归基础篇之CART算法与树剪枝 https://cuijiahua.com/blog/2017/12/ml_13_regtree_1.html
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