Python实用数据挖掘与人工智能一月特训班课件代码等资料
实用数据挖掘与人工智能
+实用数据挖掘与人工智能一月特训班 1.3 GB
+每日课件及代码 1.0 GB
+1.13 5.1 MB
Week1_熟悉工具精华版 .zip 5.1 MB
+1.15 11.0 MB
Advanced-OO .ipynb 41.8 KB
Another way to teach Function.ipynb 24.0 KB
function .zip 544.0 KB
io module .zip 5.2 KB
python basic data structure.ipynb 48.3 KB
Python Code Structure.ipynb 25.3 KB
python for basic data type.ipynb 52.7 KB
PythonCodingRule .pdf 319.0 KB
variable .png 40.4 KB
浓缩python .pdf 10.0 MB
+1.16 110.0 MB
+data 108.0 MB
1. Create Arrays.ipynb 6.1 KB
10. Index Objects .ipynb 2.5 KB
11. Reindex .ipynb 9.3 KB
12. Drop Data.ipynb 13.6 KB
13. slice data .ipynb 23.3 KB
14. Data Alignment .ipynb 13.1 KB
15. Rank and Sort .ipynb 3.3 KB
2. Basic Operations of Arrays .ipynb 9.3 KB
3. Indexing, Slicing and Iterating.ipynb 10.0 KB
4. Matrix Operations II.ipynb 10.8 KB
5. Universal Functions .ipynb 3.6 KB
6. Array processing .ipynb 54.6 KB
7. Save and Load Array .ipynb 3.4 KB
8. Series .ipynb 15.2 KB
9. DataFrame + Titanic Example .ipynb 217.0 KB
Aggregation .ipynb 168.0 KB
Introduction to Numpy.pdf 256.0 KB
matplotlib.ipynb 817.0 KB
train .csv 59.8 KB
winequality-red .csv 82.2 KB
+1.17 17.7 MB
Week1_Linear .rar 1.5 MB
Week1_什么是好的模型结果.rar 16.2 MB
+1.18 16.0 MB
Week1_Logistic .rar 14.0 MB
Week1_OverFitting .rar 2.0 MB
+1.19 4.4 MB
+data 87.7 KB
Binning.ipynb 4.8 KB
Combining DataFrames .ipynb 8.8 KB
Decision_Tree_Example_Titianic.ipynb 798.0 KB
Decision_Tree_RF.pdf 3.4 MB
GroupBy on DataFrames .ipynb 25.0 KB
GroupBy On Dict and Series .ipynb 16.3 KB
Mapping .ipynb 13.2 KB
Merge .ipynb 50.2 KB
Missing Value.ipynb 21.3 KB
Outliers .ipynb 12.4 KB
Permutation .ipynb 6.7 KB
Pivoting .ipynb 8.0 KB
Rename Index .ipynb 16.7 KB
Replace .ipynb 3.4 KB
+1.20 23.4 MB
Airbnb .zip 18.8 MB
Airbnb.pdf 221.0 KB
Airbnb_DataExploration_wanmen .ipynb 365.0 KB
Airbnb_FeatureEngineering_wanmen .ipynb 150.0 KB
Airbnb_modeling_1_20 .ipynb 248.0 KB
NDCG .pdf 2.0 MB
SVM .ipynb 382.0 KB
SVM_DAL_CT_v3 .pdf 1.1 MB
SVM_pre .ipynb 83.3 KB
+1.22 254.0 MB
amazon-fine-food-reviews .zip 251.0 MB
hongloumeng .txt 2.4 MB
Week2_NLTK_Amazon .rar 409.0 KB
自然语言处理的前世与今生 .ipynb 38.6 KB
自然语言的前世今生-new.pdf 500.0 KB
+1.23 15.2 MB
1.23上午网站集合 .docx 28.9 KB
weatherproject .zip 30.0 KB
Week2_Scraping.rar 5.1 MB
WeixinBot .zip 899.0 KB
网站基础 .pdf 9.1 MB
+1.24 6.4 MB
11.24上午网站 .docx 43.0 KB
Week2_Bayesian .rar 6.2 MB
爬虫进阶.ipynb 122.0 KB
正则case q .ipynb 4.3 KB
正则表达式 Regular Expression .ipynb 39.6 KB
+1.25 27.5 MB
Week2_Bayesian2 .rar 11.1 MB
Week2_DataIntegration .rar 16.4 MB
+1.26 15.5 MB
Cluster_DAL_CT_v3 .pdf 2.1 MB
Clustering .ipynb 1.8 MB
Clustering-pre .ipynb 181.0 KB
Week2_Danmu .rar 11.5 MB
+1.27 3.6 MB
Recommend System .pdf 3.6 MB
+1.29 11.1 MB
1.29.pdf 562.0 KB
History.pdf 4.5 MB
机器学习在图像识别中的应用 .pdf 6.1 MB
+1.30 454.0 KB
auto_bird .py 650 Byte
bird_3_1 .py 5.3 KB
flappy_bird_utils .py 3.0 KB
pygame_4 .py 3.0 KB
pygame_fps.py 1.9 KB
pygame_no_fps .py 1.9 KB
Week3_FlappyBird .rar 439.0 KB
+1.31 6.4 MB
2 Create database .sql 4.5 KB
3 Query .sql 2.7 KB
ctypes basic .ipynb 22.6 KB
directkeys .py 3.2 KB
ImageRecognition .ipynb 3.0 MB
opencv basic .ipynb 576.0 KB
PIC.zip 311.0 KB
python控制系统.pdf 2.1 MB
Working_with_data_1 .ipynb 391.0 KB
+2.1 364.0 MB
check data.ipynb 185.0 KB
daldrive .zip 692.0 KB
DeepGTAV .zip 266.0 MB
getkeys .py 1.6 KB
hw_bird .png 138.0 KB
lane_extraction .ipynb 776.0 KB
snapshot .py 1.3 KB
training_data-1 .zip 85.4 MB
training_data-10 .zip 10.2 MB
training_run .py 2.7 KB
+2.2 7.9 MB
CNN .ipynb 377.0 KB
Example1_Building and Running your first TF Graph.ipynb 8.8 KB
Introduction_to_tensorflow(1) .ipynb 170.0 KB
Logistic_Regression_MNIST .ipynb 105.0 KB
pic .zip 7.3 MB
Sequences .ipynb 3.7 KB
Shape .ipynb 8.9 KB
slicing.ipynb 6.5 KB
Tensorflow operations .ipynb 9.0 KB
+2.3 78.6 MB
+input 56.2 MB
Archive.zip 17.0 MB
深度学习框架剖析-final .pdf 5.4 MB
+2.4 5.3 MB
imgs .zip 915.0 KB
Linear Algebra .ipynb 32.8 KB
LinearAlgebra_code .ipynb 35.4 KB
递归神经网络 .pdf 4.4 MB
递归神经网络 (1) .ipynb 17.3 KB
+2.5 217.0 KB
Amazon Review Sentimental Analysis .ipynb 8.6 KB
词嵌入表示.ipynb 208.0 KB
+每周作业 1.2 MB
第三周作业.png 307.0 KB
第一周作业 .zip 917.0 KB
+软件：1月13日更新 268.0 MB
+mac 133.0 MB
+Windows 134.0 MB
+推荐教材 124.0 MB
Python for Data Analysis .pdf 7.6 MB
机器学习_周志华 .pdf 37.6 MB
利用Python进行数据分析 78.4MB .pdf 78.4 MB
【课程安排】 .pdf 112.0 KB
实用数据挖掘与人工智能一月特训班.docx 60.5 KB


课程内容简介（实用数据挖掘与人工智能一月特训班.docx）供下载前参考！！