实用数据挖掘与人工智能【完结】

课件 [4.70G]

实用数据挖掘与人工智能一月特训班 [4.70G]

每日课件及代码 [3.26G]

1.13 [5.15M]

week1_熟悉工具精华版.zip [5.15M]

1.15 [11.04M]

advanced-oo.ipynb [41.78K]

another way to teach function.ipynb [23.98K]

function.zip [544.34K]

io module.zip [5.17K]

python basic data structure.ipynb [48.27K]

python code structure.ipynb [25.27K]

python for basic data type.ipynb [52.71K]

pythoncodingrule.pdf [318.97K]

variable.png [40.40K]

浓缩python.pdf [9.97M]

1.16 [109.62M]

data [107.89M]

.ipynb_checkpoints [732.10K]

pandas_tutorial-checkpoint.ipynb [732.10K]

311-service-requests.csv [52.50M]

bikes.csv [13.48K]

dog.jpeg [20.81K]

pandas_tutorial.ipynb [735.18K]

popularity-contest [185.24K]

readme.md [0.19K]

result_0 [53.25M]

weather_2012.csv [491.96K]

weather_2012.sqlite [7.00K]

1. create arrays.ipynb [6.08K]

10. index objects.ipynb [2.49K]

11. reindex.ipynb [9.32K]

12. drop data.ipynb [13.60K]

13. slice data.ipynb [23.26K]

14. data alignment.ipynb [13.10K]

15. rank and sort.ipynb [3.26K]

2. basic operations of arrays.ipynb [9.29K]

3. indexing, slicing and iterating.ipynb [10.04K]

4. matrix operations ii.ipynb [10.84K]

5. universal functions.ipynb [3.62K]

6. array processing.ipynb [54.59K]

7. save and load array.ipynb [3.43K]

8. series.ipynb [15.24K]

9. dataframe + titanic example.ipynb [216.97K]

aggregation.ipynb [168.43K]

introduction to numpy.pdf [255.87K]

matplotlib.ipynb [816.86K]

train.csv [59.76K]

winequality-red.csv [82.23K]

1.17 [17.73M]

week1_linear.rar [1.50M]

week1_什么是好的模型结果.rar [16.23M]

1.18 [16.01M]

week1_logistic.rar [14.05M]

week1_overfitting.rar [1.97M]

1.19 [4.44M]

data [87.72K]

test.csv [27.96K]

train.csv [59.76K]

binning.ipynb [4.77K]

combining dataframes.ipynb [8.78K]

decision_tree_example_titianic.ipynb [797.91K]

decision_tree_rf.pdf [3.40M]

groupby on dataframes.ipynb [25.06K]

groupby on dict and series.ipynb [16.32K]

mapping.ipynb [13.24K]

merge.ipynb [50.17K]

missing value.ipynb [21.28K]

outliers.ipynb [12.42K]

permutation.ipynb [6.75K]

pivoting.ipynb [8.00K]

rename index.ipynb [16.73K]

replace.ipynb [3.35K]

1.20 [23.39M]

airbnb .zip [18.78M]

airbnb.pdf [220.97K]

airbnb_dataexploration_wanmen.ipynb [365.25K]

airbnb_featureengineering_wanmen.ipynb [150.21K]

airbnb_modeling_1_20.ipynb [248.49K]

ndcg.pdf [2.05M]

svm.ipynb [381.70K]

svm_dal_ct_v3.pdf [1.15M]

svm_pre.ipynb [83.27K]

1.22 [253.98M]

amazon-fine-food-reviews.zip [250.65M]

hongloumeng.txt [2.41M]

week2_nltk_amazon.rar [408.75K]

自然语言处理的前世与今生.ipynb [38.65K]

自然语言的前世今生-new.pdf [499.81K]

1.23 [15.20M]

1.23上午网站集合.docx [28.87K]

weatherproject.zip [29.96K]

week2_scraping.rar [5.14M]

weixinbot.zip [899.07K]

网站基础.pdf [9.13M]

1.24 [6.36M]

11.24上午网站.docx [43.02K]

week2_bayesian.rar [6.16M]

爬虫进阶.ipynb [122.45K]

正则case q.ipynb [4.33K]

正则表达式 regular expression.ipynb [39.63K]

1.25 [1.81G]

uid_ucmid.csv.zip [1.78G]

week2_bayesian2.rar [11.09M]

week2_dataintegration.rar [16.37M]

1.26 [15.55M]

cluster_dal_ct_v3.pdf [2.06M]

clustering.ipynb [1.78M]

clustering-pre.ipynb [181.20K]

week2_danmu.rar [11.53M]

1.27 [3.58M]

recommend system.pdf [3.58M]

1.29 [11.07M]

1.29.pdf [561.84K]

history.pdf [4.48M]

机器学习在图像识别中的应用.pdf [6.05M]

1.30 [454.21K]

auto_bird.py [0.63K]

bird_3_1.py [5.30K]

flappy_bird_utils.py [2.99K]

pygame_4.py [2.97K]

pygame_fps.py [1.88K]

pygame_no_fps.py [1.85K]

week3_flappybird.rar [438.59K]

1.31 [6.36M]

2 create database.sql [4.52K]

3 query.sql [2.75K]

ctypes basic.ipynb [22.60K]

directkeys.py [3.16K]

imagerecognition.ipynb [2.97M]

opencv basic.ipynb [576.45K]

pic.zip [311.26K]

python控制系统.pdf [2.11M]

working_with_data_1.ipynb [391.17K]

2.1 [363.70M]

check data.ipynb [185.02K]

daldrive.zip [692.18K]

deepgtav.zip [266.27M]

getkeys.py [1.58K]

hw_bird.png [138.03K]

lane_extraction.ipynb [775.98K]

snapshot.py [1.31K]

training_data-1.zip [85.42M]

training_data-10.zip [10.25M]

training_run.py [2.75K]

2.2 [7.92M]

cnn.ipynb [376.70K]

example1_building and running your first tf graph.ipynb [8.77K]

introduction_to_tensorflow(1).ipynb [169.96K]

logistic_regression_mnist.ipynb [104.70K]

pic.zip [7.25M]

sequences.ipynb [3.67K]

shape.ipynb [8.85K]

slicing.ipynb [6.51K]

tensorflow operations.ipynb [8.98K]

2.3 [612.50M]

input [590.11M]

input.tar.gz [533.94M]

vgg16_weights_tf_dim_ordering_tf_kernels_notop.h5 [56.16M]

archive.zip [17.02M]

深度学习框架剖析-final.pdf [5.38M]

2.4 [5.33M]

imgs.zip [915.25K]

linear algebra.ipynb [32.84K]

linearalgebra_code.ipynb [35.44K]

递归神经网络 (1).ipynb [17.29K]

递归神经网络.pdf [4.35M]

2.5 [217.05K]

amazon review sentimental analysis.ipynb [8.63K]

词嵌入表示.ipynb [208.43K]

2.6

每周作业 [1.19M]

第三周作业.png [306.79K]

第一周作业.zip [916.70K]

软件：1月13日更新 [1.32G]

mac [702.32M]

anaconda3-5.0.1-macosx-x86_64.pkg [568.89M]

git-2.15.0-intel-universal-mavericks.dmg [28.51M]

mendeley-desktop-1.17.12-osx-universal.dmg [91.41M]

sublime text build 3143.dmg [13.50M]

windows [649.25M]

anaconda3-5.0.1-windows-x86_64.exe [514.82M]

git-2.15.1.2-64-bit.exe [38.06M]

graphviz-2.38.msi [34.17M]

mendeley-desktop-1.17.12-win32.exe [53.66M]

sublime text build 3143 x64 setup.exe [8.54M]

推荐教材 [123.60M]

python for data analysis.pdf [7.63M]

机器学习_周志华.pdf [37.57M]

利用python进行数据分析 78.4mb.pdf [78.41M]

【课程安排】.pdf [112.01K]

实用数据挖掘与人工智能一月特训班.docx [60.48K]

下载软件.zip [22.02M]

在线观看和下载方法.pdf [475.51K]