菜菜sklearn课件完整版

【文件属性】：
文件名称：菜菜sklearn课件完整版
文件大小：159.08MB
文件格式：ZIP
更新时间：2022-02-22 10:49:59
sklearn 机器学习 人工智能 python 机器学习sklearn

【文件预览】：
课件
----day08_02随机森林()
--------day08_sample_submission.csv(235KB)
--------day08_.ipynb_checkpoints()
--------day08_test.csv(48.75MB)
--------day08_digit recognizor.zip(14.88MB)
--------day08_train.csv(73.22MB)
--------day08_随机森林 full version.pdf(2.46MB)
--------day08_Record.ipynb(242KB)
----day08_010朴素贝叶斯()
--------day08_朴素贝叶斯 full version.pdf(3.4MB)
--------day08_010朴素贝叶斯.rar(4.13MB)
--------day08_Naive Bayes源码.ipynb(2.99MB)
----day08_03数据预处理和特征工程()
--------day08_.ipynb_checkpoints()
--------day08_数据预处理和特征工程 - 数据.zip(8.91MB)
--------day08_record.ipynb(133KB)
--------day08_Narrativedata.csv(18KB)
--------day08_数据预处理与特征工程 full version.xml(19KB)
--------day08_数据预处理与特征工程 full version.pdf(2.58MB)
--------day08_digit recognizor.csv(73.22MB)
----day08_05逻辑回归与评分卡()
--------day08_逻辑回归 full version.pdf(3.03MB)
--------day08_vali_data.csv(8.77MB)
--------day08_.ipynb_checkpoints()
--------day08_rankingcard.csv(7.21MB)
--------day08_ScoreData.csv(2KB)
--------day08_逻辑回归课件 + 数据.zip(5.84MB)
--------day08_model_data.csv(20.54MB)
--------day08_逻辑回归 full version.xml(31KB)
--------day08_评分卡模型.ipynb(266KB)
--------day08_逻辑回归.ipynb(55KB)
----day08_06聚类算法Kmeans()
--------day08_.ipynb_checkpoints()
--------day08_聚类算法KMeans EDU version.pdf(2.19MB)
--------day08_聚类算法与Kmeans代码.zip(2.52MB)
--------day08_聚类算法与Kmeans.ipynb(3.39MB)
----day08_09回归大家族：线性回归，岭回归，Lasso与多项式回归()
--------day08_线性回归 - 代码.ipynb(473KB)
--------day08_线性回归大家族 full version.pdf(4.98MB)
--------day08_线性回归 课件 + 代码.zip(4.92MB)
----day08_08支持向量机下()
--------day08_weather.csv(15.15MB)
--------day08_SVM 2 - 理论部分源码.ipynb(662KB)
--------day08_.ipynb_checkpoints()
--------day08_SVM (下) - 源码.zip(222KB)
--------day08_SVM 2 - 案例部分源码.ipynb(373KB)
--------day08_samplecity.csv(2KB)
--------day08_Cityclimate.csv(4KB)
--------day08_SVM (下) full version.xml(31KB)
--------day08_cityll.csv(4KB)
--------day08_SVM (下) full version.pdf(3.33MB)
--------day08_weatherAUS5000.csv(539KB)
--------day08_SVM数据.zip(4.24MB)
----day08_04主成分分析PCA与奇异值分解SVD()
--------day08_.ipynb_checkpoints()
--------day08_降维算法 full version.xml(35KB)
--------day08_降维算法 full version.pdf(2.71MB)
--------day08_Record.ipynb(350KB)
--------day08_digit recognizor.csv(73.22MB)
--------day08_record2.ipynb(93KB)
----day08_011XGBoost()
--------day08_.ipynb_checkpoints()
--------day08_xgboost code.ipynb(612KB)
--------day08_XGBoost full version.pdf(5.31MB)
--------day08_xgboost 代码 + 课件.zip(5.36MB)
----day08_参考书3.jpg(90KB)
----day08_01 决策树课件数据源码()
--------day08_Tree(2KB)
--------day08_决策树 full version.pdf(3.31MB)
--------day08_决策树原理更新.pdf(3.6MB)
--------day08_.ipynb_checkpoints()
--------day08_data.csv(60KB)
--------day08_test.csv(28KB)
--------day08_Taitanic data.zip(32KB)
--------day08_决策树 案例部分源码.ipynb(35KB)
--------day08_Tree.dot(2KB)
--------day08_决策树 原理部分源码.ipynb(178KB)
--------day08_Tree.pdf(28KB)
----day08_07支持向量机上()
--------day08_SVM (上) full version.pdf(7.72MB)
--------day08_SVM (上) full version.xml(21KB)
--------day08_.ipynb_checkpoints()
--------day08_SVM1.ipynb(1.23MB)
--------day08_Record.ipynb(31KB)
----day08_参考书2.jpg(93KB)
----day08_参考书1.jpg(101KB)
----day08_开始机器学习之前：配置开发环境.pdf(1.64MB)