搜索示例: 259LUXU-1100

[FTUForum.com] [UDEMY] Complete Data Wrangling & Data Visualisation With Python [FTU]

种子名称

[FTUForum.com] [UDEMY] Complete Data Wrangling & Data Visualisation With Python [FTU]

种子哈希

34D0D57C99CFCE36D09C211173AF421F5FC833FF

种子大小

3.07 GB3,293,911,671 Bytes

文件数量

110个文件

收录时间

2019-06-13 08:34:33

下载地址

下载种子文件(.torrent)离线云播

magnet:?xt=urn:btih:34d0d57c99cfce36d09c211173af421f5fc833ff&dn=[FTUForum.com] [UDEMY] Complete Data Wrangling & Data Visualisation With Python [FTU]

分享种子

亲,你知道吗?下载的人越多速度越快,赶快把本页面分享给好友一起下载吧^_^

种子人气

下载过2227次

下载速度

极快

最近下载

2019-07-16 20:30:41

相关搜索

ssni-518259LUXU-1113SSNI-502STAR-362SSNI 452GVG-658108tvSSNI-344nba2k19259LUXU-1100

版权声明

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!
We do not store any content of the torrent ,only gather and index the metadata such as file name ,file size, magnet link from the DHT network. We do not store torrent files and can not provide a download url, you can download the torrent file through the third party website or magenet to get the torrent contents. Please pay attention that we are not responsible for the authenticity and legality of the torrent files.

文件列表

17.15 KB1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/5. Introduction to IPythonJupyter.vtt

3.58 KB4. Basic Data Wrangling/5. Change Column Name.vtt

22.51 KB8. Most Common Data Visualizations/4. Barplot.vtt

237 Bytes0. Websites you may like/How you can help Team-FTU.txt

56.42 MB6. Feature Selection and Transformation/1. Correlation Analysis.mp4

68.35 MB7. Theory Behind Data Visualisation/1. What is Data Visualisation.mp4

20.97 MB3. Data Cleaning/4. Imputing Qualitative Values.mp4

3.45 KB1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/6. ipython in Browser.vtt

294 Bytes0. Websites you may like/5. (Discuss.FTUForum.com) FTU Discussion Forum.url

102.69 MB1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/5. Introduction to IPythonJupyter.mp4

4.08 KB6. Feature Selection and Transformation/6. Implement PCA.vtt

12.07 KB8. Most Common Data Visualizations/3. Scatter plot-Relationship Between Two Numerical Variables.vtt

49.41 MB4. Basic Data Wrangling/3. Basic Data Handling With Conditional Statements.mp4

26.51 MB4. Basic Data Wrangling/1. Basic Principles.mp4

163 Bytes0. Websites you may like/3. (NulledPremium.com) Download Cracked Website Themes, Plugins, Scripts And Stock Images.url

44.22 MB3. Data Cleaning/6. Use k-NN for Data Imputation.mp4

328 Bytes0. Websites you may like/1. (FreeTutorials.Us) Download Udemy Paid Courses For Free.url

5.66 KB2. Read in Data From Different Sources With Pandas/2. Read CSV Data.vtt

2.28 KB8. Most Common Data Visualizations/7. More Line Charts.vtt

56.41 MB3. Data Cleaning/3. Data Imputation.mp4

12.01 KB8. Most Common Data Visualizations/6. Line Charts.vtt

170.67 MB8. Most Common Data Visualizations/4. Barplot.mp4

37.88 MB8. Most Common Data Visualizations/5. Pie Chart.mp4

10.56 KB8. Most Common Data Visualizations/8. Some More Plot Types.vtt

34.15 MB6. Feature Selection and Transformation/2. Using Correlation to Decide Which Features to Retain.mp4

50.07 MB1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/4. For Mac Users.mp4

123.32 MB1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/2.1 Data and Code.zip.zip

2.85 KB1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/1. Welcome to the Course.vtt

105.06 MB1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/3. Python Data Science Environment.mp4

54.82 MB9. Miscallaneous Information/1. Using Colabs as an Online Jupyter Notebook.mp4

4.1 KB4. Basic Data Wrangling/3. Basic Data Handling With Conditional Statements.vtt

5.76 KB6. Feature Selection and Transformation/8. Create a New Feature.vtt

7.92 KB5. More Data Wrangling/7. Concatenate.vtt

39.97 MB6. Feature Selection and Transformation/8. Create a New Feature.mp4

4.63 KB4. Basic Data Wrangling/1. Basic Principles.vtt

96.2 MB3. Data Cleaning/5. Theory Behind k-NN Algorithm.mp4

9.8 KB2. Read in Data From Different Sources With Pandas/1. What are Pandas.vtt

66.11 MB7. Theory Behind Data Visualisation/2. Some Theoretical Principles Behind Data Visualisation.mp4

69.37 MB5. More Data Wrangling/3. More Data Subsetting.mp4

239 Bytes0. Websites you may like/4. (FTUApps.com) Download Cracked Developers Applications For Free.url

7.77 KB5. More Data Wrangling/2. Data Subsetting and Indexing.vtt

6.52 KB9. Miscallaneous Information/1. Using Colabs as an Online Jupyter Notebook.vtt

10.18 KB1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/3. Python Data Science Environment.vtt

286 Bytes0. Websites you may like/2. (FreeCoursesOnline.Me) Download Udacity, Masterclass, Lynda, PHLearn, Pluralsight Free.url

9.88 KB7. Theory Behind Data Visualisation/1. What is Data Visualisation.vtt

3.61 KB4. Basic Data Wrangling/7. Explore Date Related Data.vtt

36.88 MB3. Data Cleaning/2. Missing Values in a Real Dataset.mp4

18.6 MB5. More Data Wrangling/5. (Fuzzy) String Matching.mp4

5.84 KB8. Most Common Data Visualizations/5. Pie Chart.vtt

6.54 KB3. Data Cleaning/5. Theory Behind k-NN Algorithm.vtt

2.94 KB6. Feature Selection and Transformation/5. Theory Behind PCA.vtt

3.77 KB4. Basic Data Wrangling/8. Simple Date Related Computations.vtt

40.48 MB1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/6. ipython in Browser.mp4

85.04 MB2. Read in Data From Different Sources With Pandas/1. What are Pandas.mp4

3.79 KB1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/4. For Mac Users.vtt

7.11 KB7. Theory Behind Data Visualisation/2. Some Theoretical Principles Behind Data Visualisation.vtt

8.6 KB6. Feature Selection and Transformation/1. Correlation Analysis.vtt

8.33 KB5. More Data Wrangling/1. Data Grouping.vtt

39.17 MB6. Feature Selection and Transformation/3. Univariate Feature Selection.mp4

18.94 MB8. Most Common Data Visualizations/7. More Line Charts.mp4

78.5 MB8. Most Common Data Visualizations/9. And Some More.mp4

6.47 KB3. Data Cleaning/1. Remove NA Values.vtt

11.72 KB8. Most Common Data Visualizations/1. Histograms-Visualize the Distribution of Continuous Numerical Variables.vtt

70.05 MB5. More Data Wrangling/7. Concatenate.mp4

7.78 KB4. Basic Data Wrangling/2. Preliminary Data Explorations.vtt

5.47 KB8. Most Common Data Visualizations/2. Boxplots-Visualize the Distribution of Continuous Numerical Variables.vtt

10.7 KB5. More Data Wrangling/8. Merging and Joining.vtt

8.98 KB3. Data Cleaning/3. Data Imputation.vtt

23.87 MB6. Feature Selection and Transformation/5. Theory Behind PCA.mp4

12.43 MB1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/1. Welcome to the Course.mp4

8.3 KB8. Most Common Data Visualizations/9. And Some More.vtt

25.13 MB4. Basic Data Wrangling/7. Explore Date Related Data.mp4

2.72 KB5. More Data Wrangling/5. (Fuzzy) String Matching.vtt

32.47 MB6. Feature Selection and Transformation/7. Data Standardisation.mp4

42.4 MB2. Read in Data From Different Sources With Pandas/3. Read Excel Data.mp4

99.1 MB8. Most Common Data Visualizations/1. Histograms-Visualize the Distribution of Continuous Numerical Variables.mp4

11.11 KB2. Read in Data From Different Sources With Pandas/4. Read in HTML Data.vtt

6.32 KB3. Data Cleaning/2. Missing Values in a Real Dataset.vtt

129.55 MB2. Read in Data From Different Sources With Pandas/4. Read in HTML Data.mp4

7.4 KB5. More Data Wrangling/6. Ranking & Sorting.vtt

75.99 MB8. Most Common Data Visualizations/8. Some More Plot Types.mp4

7.98 KB5. More Data Wrangling/3. More Data Subsetting.vtt

22.67 MB4. Basic Data Wrangling/6. Change the Column Type.mp4

6.08 KB3. Data Cleaning/6. Use k-NN for Data Imputation.vtt

3.56 KB2. Read in Data From Different Sources With Pandas/3. Read Excel Data.vtt

53.86 MB2. Read in Data From Different Sources With Pandas/2. Read CSV Data.mp4

97.86 MB5. More Data Wrangling/1. Data Grouping.mp4

101.98 MB5. More Data Wrangling/2. Data Subsetting and Indexing.mp4

106.83 MB8. Most Common Data Visualizations/3. Scatter plot-Relationship Between Two Numerical Variables.mp4

26.72 MB6. Feature Selection and Transformation/6. Implement PCA.mp4

4.59 KB6. Feature Selection and Transformation/3. Univariate Feature Selection.vtt

4.06 KB6. Feature Selection and Transformation/4. Recursive Feature Elimination (RFE).vtt

40.52 MB8. Most Common Data Visualizations/2. Boxplots-Visualize the Distribution of Continuous Numerical Variables.mp4

4.13 KB6. Feature Selection and Transformation/7. Data Standardisation.vtt

38.29 MB5. More Data Wrangling/4. Extract Information From Strings.mp4

5.04 KB6. Feature Selection and Transformation/2. Using Correlation to Decide Which Features to Retain.vtt

47.63 MB4. Basic Data Wrangling/4. Drop ColumnRow.mp4

82.31 MB5. More Data Wrangling/6. Ranking & Sorting.mp4

3.35 KB3. Data Cleaning/4. Imputing Qualitative Values.vtt

116.79 MB8. Most Common Data Visualizations/6. Line Charts.mp4

123 Bytes1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/2. Data & Script For the Course.html

36.53 MB6. Feature Selection and Transformation/4. Recursive Feature Elimination (RFE).mp4

55.95 MB3. Data Cleaning/1. Remove NA Values.mp4

25.27 MB4. Basic Data Wrangling/8. Simple Date Related Computations.mp4

4.26 KB4. Basic Data Wrangling/4. Drop ColumnRow.vtt

25.18 MB4. Basic Data Wrangling/5. Change Column Name.mp4

96.84 MB5. More Data Wrangling/8. Merging and Joining.mp4

3.92 KB4. Basic Data Wrangling/6. Change the Column Type.vtt

4.19 KB5. More Data Wrangling/4. Extract Information From Strings.vtt

64.53 MB4. Basic Data Wrangling/2. Preliminary Data Explorations.mp4

Execution time:0.0062570571899414 seconds; Generated at 2019-07-16 23:29:55 by torrentkitty; User IP: 35.153.135.60; User UA: CCBot/2.0 (https://commoncrawl.org/faq/); Memory Usage:545.26 KB #website#torrentkitty#website#infohash#34d0d57c99cfce36d09c211173af421f5fc833ff#infohash#