搜索
[ DevCourseWeb.com ] Udemy - Python for Data Science Pro - The Complete Mastery Course
磁力链接/BT种子名称
[ DevCourseWeb.com ] Udemy - Python for Data Science Pro - The Complete Mastery Course
磁力链接/BT种子简介
种子哈希:
53fbba6721ab1d62a598581366f3f0353ce99f33
文件大小:
1.01G
已经下载:
239
次
下载速度:
极快
收录时间:
2024-09-11
最近下载:
2024-09-21
移花宫入口
移花宫.com
邀月.com
怜星.com
花无缺.com
yhgbt.icu
yhgbt.top
磁力链接下载
magnet:?xt=urn:btih:53FBBA6721AB1D62A598581366F3F0353CE99F33
推荐使用
PIKPAK网盘
下载资源,10TB超大空间,不限制资源,无限次数离线下载,视频在线观看
下载BT种子文件
磁力链接
迅雷下载
PIKPAK在线播放
91视频
含羞草
欲漫涩
逼哩逼哩
成人快手
51品茶
抖阴破解版
暗网禁地
91短视频
TikTok成人版
PornHub
草榴社区
乱伦社区
最近搜索
they might be giants discography
gif出处系列452
栗子
值班室
干爹
抖音 大奶
+femdom
dwd046
ultrafilms get lucky 1080p
송이
ag 140
母子 吃奶
国产兽交
darker than black
sinseva
純子
健身私教
91汤先生
羽生稀
+淫魔摄影师下药迷奸约拍学妹+中途疼醒
瘦猴探花
long story short 2021
coreldraw graphics 2023
电影
舞灵美
三个00后
疯狂世界 1955
极品骚货人妻偷情系列甄选高清hd增强版约操同城巨乳小姐姐 偷情少妇被大屌男干醒干爽
2020-10-14
明星脸女神大神出战
文件列表
~Get Your Files Here !/5 - Module 5 Introduction to Machine Learning/23 - Linear and Logistic Regression.mp4
105.8 MB
~Get Your Files Here !/6 - Module 6 Advanced Topics in Data Science/25 - Decomposition ARIMA Models.mp4
74.6 MB
~Get Your Files Here !/3 - Module 3 Data Visualization/15 - Creating Interactive Charts.mp4
63.5 MB
~Get Your Files Here !/3 - Module 3 Data Visualization/13 - Customizing Plots.mp4
61.8 MB
~Get Your Files Here !/5 - Module 5 Introduction to Machine Learning/21 - Encoding Categorical Variables.mp4
59.7 MB
~Get Your Files Here !/5 - Module 5 Introduction to Machine Learning/22 - Handling Imbalanced Data.mp4
51.9 MB
~Get Your Files Here !/2 - Module 2 Data Manipulation with Python/4 - Understanding Arrays and Matrices.mp4
51.3 MB
~Get Your Files Here !/4 - Module 4 Statistical Analysis/18 - Normal Binomial and Other Distributions.mp4
50.1 MB
~Get Your Files Here !/3 - Module 3 Data Visualization/12 - Basic Plots Line Bar Scatter.mp4
41.0 MB
~Get Your Files Here !/5 - Module 5 Introduction to Machine Learning/20 - Feature Scaling and Normalization.mp4
39.7 MB
~Get Your Files Here !/2 - Module 2 Data Manipulation with Python/10 - Sorting and Filtering Data.mp4
37.2 MB
~Get Your Files Here !/2 - Module 2 Data Manipulation with Python/5 - Array Operations.mp4
35.4 MB
~Get Your Files Here !/4 - Module 4 Statistical Analysis/19 - Null and Alternative Hypotheses.mp4
35.1 MB
~Get Your Files Here !/2 - Module 2 Data Manipulation with Python/7 - Data Cleaning and Preparation.mp4
34.7 MB
~Get Your Files Here !/2 - Module 2 Data Manipulation with Python/11 - Grouping and Aggregation.mp4
33.5 MB
~Get Your Files Here !/2 - Module 2 Data Manipulation with Python/9 - Merging and Joining Data.mp4
32.0 MB
~Get Your Files Here !/1 - Module 1 Introduction to Python and Data Science/1 - Variables data types and operators.mp4
31.5 MB
~Get Your Files Here !/4 - Module 4 Statistical Analysis/16 - Measures of Central Tendency.mp4
30.9 MB
~Get Your Files Here !/6 - Module 6 Advanced Topics in Data Science/26 - Text Preprocessing.mp4
30.2 MB
~Get Your Files Here !/3 - Module 3 Data Visualization/14 - Subplots and Figures.mp4
28.0 MB
~Get Your Files Here !/2 - Module 2 Data Manipulation with Python/8 - Handling Missing Data.mp4
27.1 MB
~Get Your Files Here !/4 - Module 4 Statistical Analysis/17 - Measures of Variability.mp4
26.8 MB
~Get Your Files Here !/6 - Module 6 Advanced Topics in Data Science/24 - Introduction to Time Series Data.mp4
25.3 MB
~Get Your Files Here !/6 - Module 6 Advanced Topics in Data Science/27 - Sentiment Analysis.mp4
21.1 MB
~Get Your Files Here !/1 - Module 1 Introduction to Python and Data Science/3 - Functions and Modules.mp4
21.1 MB
~Get Your Files Here !/2 - Module 2 Data Manipulation with Python/6 - DataFrames and Series.mp4
20.9 MB
~Get Your Files Here !/1 - Module 1 Introduction to Python and Data Science/2 - Control Flow Conditionals and Loops.mp4
18.0 MB
~Get Your Files Here !/Bonus Resources.txt
386 Bytes
Get Bonus Downloads Here.url
182 Bytes
随机展示
相关说明
本站不存储任何资源内容,只收集BT种子元数据(例如文件名和文件大小)和磁力链接(BT种子标识符),并提供查询服务,是一个完全合法的搜索引擎系统。 网站不提供种子下载服务,用户可以通过第三方链接或磁力链接获取到相关的种子资源。本站也不对BT种子真实性及合法性负责,请用户注意甄别!
>