+第10章：特征工程 6.1 MB
+数值特征 6.1 MB
+.ipynb_checkpoints 1.4 MB
+datasets 4.2 MB
数值特征.ipynb 231.0 KB
图像特征.ipynb 259.0 KB
文本特征.ipynb 42.7 KB
+第11章：新闻分类实战 420.0 KB
+贝叶斯新闻分类任务 420.0 KB
+.ipynb_checkpoints 179.0 KB
stopwords.data 24.5 KB
stopwords.txt 17.3 KB
stwords.txt 5.6 KB
哈工大停用词表.txt 5.9 KB
四川大学机器智能实验室停用词库.txt 8.4 KB
新闻分类任务.ipynb 179.0 KB
+第12章：支持向量机 3.1 MB
+支持向量机 3.1 MB
+支持向量机-图书 3.1 MB
+images 71.8 KB
+notebooks 3.1 MB
+第14章：打造音乐推荐系统 4.2 GB
+Python实现音乐推荐系统 4.2 GB
+.ipynb_checkpoints 364.0 KB
+__pycache__ 5.0 KB
1.png 45.3 KB
2.png 30.4 KB
3.png 43.0 KB
4.png 12.0 KB
5.png 3.6 KB
6.png 60.3 KB
7.png 77.3 KB
8.png 68.8 KB
recommendation_engines.py 13.4 KB
Recommenders.py 9.2 KB
song_playcount_df.csv 8.5 MB
track_metadata.db 712.0 MB
track_metadata_df_sub.csv 5.9 MB
train_triplets.txt 2.8 GB
triplet_dataset_sub_song.csv 648.0 MB
user_playcount_df.csv 44.1 MB
推荐系统.ipynb 366.0 KB
+第15章：降维算法 676.0 KB
+降维算法 676.0 KB
+LDA 348.0 KB
+.ipynb_checkpoints 148.0 KB
1.png 16.7 KB
2.png 6.6 KB
3.png 12.8 KB
4.png 26.0 KB
5.png 25.9 KB
6.png 22.9 KB
7.png 8.9 KB
LDA.ipynb 80.6 KB
+PCA 327.0 KB
+.ipynb_checkpoints 181.0 KB
iris.data 4.6 KB
PCA.ipynb 142.0 KB
+第16章：聚类实例 906.0 KB
+聚类实例 906.0 KB
+聚类算法 906.0 KB
+.ipynb_checkpoints 420.0 KB
1.png 65.3 KB
data.txt 610 Byte
kmeans-dbscan.ipynb 420.0 KB
+第18章：Tensorflow框架实战 12.4 MB
+Tensorflow 12.4 MB
+data 11.1 MB
+img 1.2 MB
1-基本结构.ipynb 8.7 KB
2-线性回归.ipynb 55.7 KB
3-Mnist数据集.ipynb 38.3 KB
4-逻辑回归.ipynb 7.1 KB
5-神经网络.ipynb 7.9 KB
6-卷积神经网络.ipynb 6.2 KB
+第20章：LSTM情感分析 159.0 MB
+LSTM情感分析 159.0 MB
+.ipynb_checkpoints 58.6 KB
+Images 1.0 MB
+training_data 158.0 MB
LSTM.ipynb 59.2 KB
+第2章：Numpy 121.0 KB
+.ipynb_checkpoints 72 Byte
Untitled-checkpoint.ipynb 72 Byte
+numpy代码 121.0 KB
+.ipynb_checkpoints 11.8 KB
1-Numpy概述.ipynb 6.5 KB
2-array结构.ipynb 20.3 KB
3-数值计算.ipynb 11.4 KB
4-排序.ipynb 5.2 KB
5-数组形状.ipynb 11.8 KB
6-数组生成.ipynb 10.6 KB
7-运算.ipynb 7.3 KB
8-随机模块.ipynb 5.6 KB
9-读写.ipynb 7.6 KB
练习题.ipynb 22.5 KB
+第3章：Pandas 148.0 MB
+Pandas代码 148.0 MB
+.ipynb_checkpoints 261.0 KB
+data 17.3 MB
10-时间操作.ipynb 220.0 KB
11-常用操作.ipynb 38.1 KB
12-groupby练习.ipynb 41.5 KB
13-字符串操作.ipynb 14.7 KB
14-索引2.ipynb 27.6 KB
15-Pandas绘图.ipynb 207.0 KB
16-大数据处理.ipynb 24.8 KB
16-大数据处理技巧.ipynb 25.2 KB
17-apply操作.ipynb 12.2 KB
1-Pandas-介绍.ipynb 34.9 KB
2-Pandas索引.ipynb 43.4 KB
3-groupby.ipynb 7.9 KB
4-基础结构.ipynb 605 Byte
5-数值运算.ipynb 24.0 KB
6-对象操作.ipynb 29.5 KB
7-merge操作.ipynb 29.0 KB
7-merge合并.ipynb 29.0 KB
8-显示设置.ipynb 6.3 KB
9-pivot操作.ipynb 24.7 KB
game_logs.csv 130.0 MB
macrodata.csv 17.8 KB
Pandas练习题.ipynb 59.4 KB
tips.csv 7.8 KB
titanic_train.csv 59.8 KB
+第4章：Matplotlib 4.9 MB
+Matplotlib绘图 4.9 MB
+img 1.9 MB
1-Matplotlib基本操作.ipynb 484.0 KB
2-风格设置.ipynb 226.0 KB
3-条形图.ipynb 826.0 KB
4-盒图.ipynb 117.0 KB
5-直方图and散点图.ipynb 217.0 KB
6-3D图.ipynb 579.0 KB
7-pie与布局.ipynb 339.0 KB
8-Pandas与sklearn结合实例.ipynb 219.0 KB
+第6章：信用卡欺诈检测 144.0 MB
+逻辑回归-信用卡欺诈检测 144.0 MB
+.ipynb_checkpoints 163.0 KB
creditcard.csv 144.0 MB
test.png 22.5 KB
逻辑回归-信用卡检测任务.ipynb 163.0 KB
+第9章：随机森林气温预测 6.3 MB
+随机森林 6.3 MB
+随机森林 6.3 MB
+.ipynb_checkpoints 1.0 MB
+data 102.0 KB
+images 2.2 MB
1-随机森林.ipynb 244.0 KB
2-数据与特征对随机森林的影响.ipynb 737.0 KB
3-随机森林参数选择.ipynb 24.8 KB
rf_drawings.docx 372.0 KB
small_tree.dot 1.3 KB
small_tree.png 56.1 KB
tree.dot 19.1 KB
tree.png 795.0 KB
tree2.png 795.0 KB


更详细 的内容，下载前，请参考下面的“文件清单目录树”！！