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【安装包】 Active@ Data Studio 24.1.1

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ActiveDataStudioSetup.exe 725.3 MB
Medicine/libwim-15.dll 483.9 kB
Medicine/wimlib-imagex.exe 137.2 kB
Medicine/medz/version.dll 14.3 kB
Medicine/readme.txt 549 Bytes
Medicine/files_update.txt 122 Bytes
Medicine/medz/settings.ini 83 Bytes
Medicine/fiximage.bat 62 Bytes

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【影视】 [DesireCourse.Net] Udemy - Hands-on HADOOP Masterclass - Tame the Big Data!

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28. Hadoop Project 12 - HIVEPIG - Sensor Data Analysis/21. Approach Process the Json File in Hive.mp4 152.7 MB
31. Log Data Analysis with Hadoop/1. Introduction to Log Processing.mp4 134.3 MB
31. Log Data Analysis with Hadoop/2. Summarizing Log Files.mp4 134.2 MB
4. MapReduce Advanced/21. Analytics Program Continue.mp4 133.9 MB
4. MapReduce Advanced/12. Text Out Inverted Indexer.mp4 131.1 MB
31. Log Data Analysis with Hadoop/5. Big Data Technology.mp4 127.9 MB
27. Hadoop Project 11 - HIVEPIGMapReduceSqoop - Social Media Analysis/6. Execute Map Reduce Program in order to Process XML File.mp4 121.8 MB
4. MapReduce Advanced/22. Inverted Index Map Reduce.mp4 120.1 MB
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4. MapReduce Advanced/6. Log Processor.mp4 117.1 MB
31. Log Data Analysis with Hadoop/10. Conclusion.mp4 116.6 MB
2. Hadoop Architecture and HDFS/11. Assignments.mp4 114.8 MB
4. MapReduce Advanced/14. Java Build Path.mp4 113.9 MB
3. MapReduce Fundamentals/5. Importance of Partition.mp4 113.7 MB
4. MapReduce Advanced/17. Sequence file Format.mp4 113.2 MB
17. Hadoop Project 01 - Sales Data Analysis/1. Introduction to Sales Data Analysis Using Hadoop- HDFS.mp4 112.8 MB
4. MapReduce Advanced/26. Final Module MapReduce Program.mp4 111.4 MB
4. MapReduce Advanced/13. Introduction to MapReduce on Hadoop.mp4 110.8 MB

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【压缩文件】 [Apadash] Imouto Saimin _Namaiki Imouto o Saiminjutsu de Iinari ni! ...Shita Tsumori ga, Ore no Hou ga Yarare Makutteru Ken ni Tsuite_ Package Ban + Chirashi Data.zip

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[Apadash] Imouto Saimin _Namaiki Imouto o Saiminjutsu de Iinari ni! ...Shita Tsumori ga, Ore no Hou ga Yarare Makutteru Ken ni Tsuite_ Package Ban + Chirashi Data.zip 119.9 MB

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【文档书籍】 Python for Geospatial Data Analysis 1st Edition by Bonny P. McClain EPUB

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Python for Geospatial Data Analysis 1st Edition by Bonny P. McClain.epub 124.6 MB

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【压缩文件】 [ FreeCourseWeb.com ] Lynda - Power BI Data Methods.zip

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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Microsoft Excel - Learn MS EXCEL For DATA Analysis.zip

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【影视】 [FreeCourseSite.com] Udemy - Mastering Data Structures & Algorithms using C and C++

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22 - Graphs/383 - Prims Program.mp4 712.6 MB
22 - Graphs/387 - Kruskals Program.mp4 477.0 MB
5 - Recursion/72 - Fibonacci Series using Recursion Memoization.mp4 457.4 MB
5 - Recursion/46 - How Recursion Works Tracing.mp4 447.4 MB
9 - Matrices/156 - Menu Driven Program for Matrices.mp4 363.8 MB
17 - AVL Trees/312 - Inserting in AVL with Rotations.mp4 345.7 MB
11 - Linked List/203 - Merging 2 Linked Lists.mp4 338.4 MB
22 - Graphs/374 - Representation of Undirected Graph.mp4 330.3 MB
18 - Search Trees/319 - 23 Trees.mp4 322.8 MB
4 - Introduction/39 - Introduction.mp4 316.8 MB
8 - Strings/141 - Permutation of String.mp4 288.2 MB
5 - Recursion/78 - Quiz 1 Solutions.mp4 287.9 MB
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14 - Queues/265 - Priority Queues.mp4 264.4 MB
20 - Sorting Techniques/345 - Selection Sort.mp4 261.0 MB
11 - Linked List/225 - Comparison of Array with Linked List.mp4 255.8 MB
5 - Recursion/61 - Sum of Natural Number using Recursion.mp4 243.5 MB
5 - Recursion/76 - Tower of Hanoi Problem.mp4 241.9 MB
8 - Strings/139 - Finding Duplicates in a String using Bitwise Operations.mp4 236.7 MB
13 - Stack/232 - Stack using Array.mp4 232.0 MB

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【压缩文件】 VTC Implementing a Data Warehouse with Microsoft SQL Server 2012 (Exam 70-463)

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1. Welcome/05.Terminology.flv 9.4 MB
1. Welcome/06.SQL Server 2012 Certification.flv 9.1 MB
1. Welcome/03.SQL Server Basics.flv 6.9 MB
1. Welcome/04.Database Types.flv 6.8 MB
1. Welcome/07.About the 70-463 Exam.flv 5.1 MB
1. Welcome/02.Course Overview.flv 3.4 MB
1. Welcome/01.Introduction.flv 1.6 MB
10. Deploying Packages/05.Scheduling a Package.flv 10.1 MB
10. Deploying Packages/04.Executing a Package.flv 8.0 MB
10. Deploying Packages/03.Deploying a Project.flv 7.1 MB
10. Deploying Packages/02.Creating the SSISDB Catalog.flv 6.7 MB
10. Deploying Packages/01.Deploying SSIS Packages.flv 3.7 MB
11. Conclusion/Course Wrap Up.flv 6.3 MB
2. Getting Set Up/12.TechNet and MSDN.flv 17.2 MB
2. Getting Set Up/10.Exploring the Sample Database.flv 16.8 MB
2. Getting Set Up/04.Installing SQL Server 2012 pt- 1.flv 16.0 MB
2. Getting Set Up/05.Installing SQL Server 2012 pt- 2.flv 15.5 MB
2. Getting Set Up/07.Verifying the Installation.flv 13.6 MB
2. Getting Set Up/09.Attaching the Sample Database pt- 2.flv 13.0 MB
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【影视】 [FreeCoursesOnline.Me] Pluralsight - Interpreting Data Using Statistical Models with Python

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05.Implementing Predictive Models for Categorical Data/05.06.Demo Selecting..Information.mp4 55.7 MB
03.Performing Hypothesis Testing in Python/03.07.Demo Two-way ANOVA.mp4 21.6 MB
03.Performing Hypothesis Testing in Python/03.02.Demo Preparing Data for Hypothesis Testing.mp4 19.8 MB
03.Performing Hypothesis Testing in Python/03.08.Demo Chi2 Analysis.mp4 18.4 MB
03.Performing Hypothesis Testing in Python/03.04.Demo Performing Welch's t-test.mp4 16.2 MB
03.Performing Hypothesis Testing in Python/03.03.Demo Performing the Independent t-test.mp4 15.8 MB
05.Implementing Predictive Models for Categorical Data/05.05.Demo Performing Classification Using Logistic Regression.mp4 15.6 MB
04.Implementing Predictive Models for Continuous Data/04.05.Demo Preparing Data for Simple Linear Regression.mp4 14.9 MB
04.Implementing Predictive Models for Continuous Data/04.08.Demo Selecting..Using Correlations.mp4 13.8 MB
03.Performing Hypothesis Testing in Python/03.06.Demo One-way ANOVA and Tukey's Honest Significant Difference Test.mp4 13.2 MB
03.Performing Hypothesis Testing in Python/03.05.Demo Performing the Paired Difference t-test.mp4 12.8 MB
04.Implementing Predictive Models for Continuous Data/04.06.Demo Linear ..Techniques.mp4 12.5 MB
02.Understanding Inferential Statistics/02.10.One-way ANOVA.mp4 12.4 MB
02.Understanding Inferential Statistics/02.09.Other Types of t-tests.mp4 12.2 MB
01.Course Overview/01.01.Course Overview.mp4 11.7 MB
05.Implementing Predictive Models for Categorical Data/05.02.The Intuition behind Logistic Regression.mp4 11.3 MB
05.Implementing Predictive Models for Categorical Data/05.04.Accuracy, Precision, and Recall.mp4 10.4 MB
02.Understanding Inferential Statistics/02.04.Introducing Hypothesis Testing.mp4 9.6 MB
02.Understanding Inferential Statistics/02.05.Lady Tasting Tea.mp4 9.6 MB
05.Implementing Predictive Models for Categorical Data/05.07.Summary and Further Study.mp4 9.2 MB

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【影视】 [DesireCourse.Com] Udemy - Data Science Practical Deep Learning in Theano + TensorFlow

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09 Project Facial Expression Recognition/028 Class-Based ANN in Theano.mp4 46.1 MB
10 Appendix/031 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp4 46.0 MB
09 Project Facial Expression Recognition/029 Class-Based ANN in TensorFlow.mp4 39.2 MB
07 GPU Speedup Homework and Other Misc Topics/018 Setting up a GPU Instance on Amazon Web Services.mp4 26.9 MB
10 Appendix/032 How to Code by Yourself part 1.mp4 25.7 MB
06 TensorFlow/017 Building a neural network in TensorFlow.mp4 25.0 MB
08 Modern Regularization Techniques/023 Dropout Regularization.mp4 23.8 MB
05 Theano/015 Building a neural network in Theano.mp4 22.8 MB
09 Project Facial Expression Recognition/025 Facial Expression Recognition Problem Description.mp4 22.5 MB
05 Theano/014 Theano Basics Variables Functions Expressions Optimization.mp4 20.3 MB
06 TensorFlow/016 TensorFlow Basics Variables Functions Expressions Optimization.mp4 17.9 MB
10 Appendix/033 How to Code by Yourself part 2.mp4 15.5 MB
03 Momentum and adaptive learning rates/008 Code for training a neural network using momentum.mp4 15.3 MB
02 Gradient Descent Full vs Batch vs Stochastic/006 Full vs Batch vs Stochastic Gradient Descent in code.mp4 14.7 MB
04 Choosing Hyperparameters/012 Grid Search in Code.mp4 14.4 MB
09 Project Facial Expression Recognition/027 Utilities walkthrough.mp4 14.1 MB
01 Outline the MNIST dataset and Linear Logistic Regression Benchmark/004 Where to get the MNIST dataset and Establishing a Linear Benchmark.mp4 11.7 MB
03 Momentum and adaptive learning rates/010 Constant learning rate vs. RMSProp in Code.mp4 11.5 MB
09 Project Facial Expression Recognition/026 The class imbalance problem.mp4 10.6 MB
07 GPU Speedup Homework and Other Misc Topics/022 Theano vs. TensorFlow.mp4 9.6 MB

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【影视】 [FreeCourseSite.com] Udemy - The Complete Data Structures and Algorithms Course in Python

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34 - Graph Algorithms Dijsktras Algorithm/350 - Dijkstra Implementation Part 2.mp4 80.7 MB
40 - Cracking Trees and Graphs Top Interview Questions Apple Amazon Facebook/385 - Solution to Build Order.mp4 69.6 MB
7 - Arrays/64 - One Dimensional Array Practice.mp4 68.9 MB
21 - Cracking Stack and Queue Interview Questions AmazonFacebook Apple Microsoft/213 - Question 1 Three in One.mp4 65.3 MB
18 - Cracking Linked List Interview Questions Amazon Facebook Apple and Microsoft/179 - Linked List Class.mp4 62.1 MB
2 - Recursion/10 - What is Recursion.mp4 59.5 MB
3 - Cracking Recursion Interview Questions/20 - Question 1 Sum of Digits.mp4 59.1 MB
34 - Graph Algorithms Dijsktras Algorithm/349 - Dijkstra Implementation Part 1.mp4 58.4 MB
28 - Sort Algorithms/308 - Quick Sort.mp4 47.1 MB
28 - Sort Algorithms/303 - Bubble Sort.mp4 44.2 MB
23 - Binary Search Tree/250 - Insert a node to BST.mp4 43.4 MB
40 - Cracking Trees and Graphs Top Interview Questions Apple Amazon Facebook/380 - Solution to Minimal Tree.mp4 43.4 MB
20 - Queue/202 - Circular Queue.mp4 42.6 MB
25 - Binary Heap/277 - Extract a node from Binary Heap.mp4 42.2 MB
1 - Introduction/8 - DataStructuresandAlgorithmsinPythonSlides.pdf 41.8 MB
22 - Tree Binary Tree/234 - Delete a node from Binary Tree Linked List.mp4 40.8 MB
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【影视】 [ DevCourseWeb.com ] Udemy - Web Scraping - Scrape Data To Google Sheets With Sheets Genie

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~Get Your Files Here !/2 - The Sheets Genie Done For You Approach Scrapes Already Set Up For You/6 - Links on Page Analysis for Affiliate Links External Internal Links & More.mp4 166.5 MB
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~Get Your Files Here !/1 - Introduction to Web Scraping with Sheets Genie & How to Set It Up/4 - Set Up Sheets Genie in 7 Steps & Receive Scraped Data to Google Sheets.mp4 66.8 MB
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【压缩文件】 [ FreeCourseWeb.com ] Udemy - A to Z of Apache Nifi-Beginner to Admin-Master the Data Flow.zip

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【影视】 Udacity - Data Analyst Nanodegree nd002 v8.0.0

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Part 15-Module 01-Lesson 05_Interview Practice/06. Design a Spam Classifier-qRv1wrtgsmM.mp4 118.9 MB
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Part 07-Module 01-Lesson 07_Explore Many Variables/16. Sean's NFL Fan Sentiment Study-ahaxt6UKxQw.mp4 52.0 MB
Part 03-Module 04-Lesson 01_Investigate a Dataset/05. Investigate A Dataset Project Walkthrough Final-OtDZCYxbHB4.mp4 51.8 MB
Part 15-Module 01-Lesson 05_Interview Practice/02. Describe your latest data project-cXluuqCVg18.mp4 44.2 MB
Part 15-Module 01-Lesson 02_Practice Behavioral Questions/06. A Problem and How You Dealt With It-7IKqdW30GvQ.mp4 42.7 MB
Part 16-Module 01-Lesson 06_Datasets and Questions/03. Accuracy vs. Training Set Size-9w1Yi5nMNgw.mp4 36.5 MB
Part 07-Module 01-Lesson 01_What is EDA/09. Aude Explores Coordinated Migration-7ihp6ofAJG8.mp4 36.4 MB
Part 15-Module 01-Lesson 05_Interview Practice/06. Design a Spam Classifier-Uy89Ff49pRc.mp4 34.9 MB
Part 13-Module 01-Lesson 01_Develop Your Personal Brand/04. Meet Chris-0ccflD9x5WU.mp4 34.1 MB
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Part 15-Module 02-Lesson 08_Technical Interview - Python/05. Brainstorming-LJFYhMDCCsU.mp4 33.2 MB
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Part 16-Module 01-Lesson 14_Validation/10. Practical Advice for K-Fold in sklearn-COVRSk0GDEE.mp4 32.0 MB

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【影视】 [Tutorialsplanet.NET] Udemy - Simulate, understand, & visualize data like a data scientist

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9. Spatiotemporal structure using forward models/4. Example Simulate human brain (EEG) data.mp4 35.4 MB
9. Spatiotemporal structure using forward models/2. Forward model 2D sheet.mp4 32.9 MB
4. Time series signals/3. Smooth transients.mp4 20.8 MB
9. Spatiotemporal structure using forward models/3. Mixed overlapping forward models.mp4 19.3 MB
4. Time series signals/6. Dipolar and multipolar chirps.mp4 16.2 MB
3. Data distributions/2. Normal and uniform distributions.mp4 15.3 MB
5. Time series noise/5. Multivariable correlated noise.mp4 13.9 MB
3. Data distributions/4. Poisson distribution.mp4 13.4 MB
2. Descriptive statistics and basic visualizations/2. Mean, median, standard deviation, variance.mp4 12.9 MB
5. Time series noise/3. Pink noise (aka 1f aka fractal).mp4 12.7 MB
1. Introductions/4. The importance of visualization.mp4 12.0 MB
8. Data clustering in space/2. Clusters in 2D.mp4 11.5 MB
3. Data distributions/3. QQ plot.mp4 11.4 MB
3. Data distributions/7. Cohen's d for separating distributions.mp4 11.2 MB
7. Image noise/4. Perlin noise in 2D.mp4 10.4 MB
5. Time series noise/2. Seeded reproducible normal and uniform noise.mp4 10.1 MB
6. Image signals/3. Sine patches and Gabor patches.mp4 9.6 MB
8. Data clustering in space/3. Clusters in N-D.mp4 9.4 MB
1. Introductions/2. Why and how to simulate data.mp4 9.3 MB
4. Time series signals/2. Sharp transients.mp4 9.3 MB

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【影视】 Pluralsight Path. Data Wrangling with R (2020)

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B1. Reshaping Data with R (Okan Bulut, 2020)/3. Reshaping Wide Data to Long Data/4. Demo - Base R.mp4 27.7 MB
B1. Reshaping Data with R (Okan Bulut, 2020)/3. Reshaping Wide Data to Long Data/5. Demo - reshape2.mp4 24.4 MB
A1. Merging Data Sources with R (Dan Tofan, 2019)/3. Joining Data Sets with the Merge() Function/2. Inner Joins.mp4 23.3 MB
B1. Reshaping Data with R (Okan Bulut, 2020)/3. Reshaping Wide Data to Long Data/6. Demo - tidyr.mp4 20.3 MB
B1. Reshaping Data with R (Okan Bulut, 2020)/4. Reshaping Long Data to Wide Data/5. Demo - reshape2.mp4 19.6 MB
B1. Reshaping Data with R (Okan Bulut, 2020)/4. Reshaping Long Data to Wide Data/6. Demo - tidyr.mp4 19.0 MB
A1. Merging Data Sources with R (Dan Tofan, 2019)/2. Managing Vectors/2. Creating a Vector from Values.mp4 17.7 MB
A1. Merging Data Sources with R (Dan Tofan, 2019)/4. Joining Data Sets with dplyr/3. Left, Right, and Full Outer Joins.mp4 17.7 MB
A1. Merging Data Sources with R (Dan Tofan, 2019)/2. Managing Vectors/4. Merging Vectors into a Character Vector.mp4 17.2 MB
A2. Splitting and Combining Data with R (Mariah Weatherford, 2019)/2. Creating Variables to CombineSummarize Data/03. Demo - Variable Creation Basics.mp4 16.3 MB
A2. Splitting and Combining Data with R (Mariah Weatherford, 2019)/2. Creating Variables to CombineSummarize Data/12. Demo - Variable Creation with Dates and Times.mp4 16.1 MB
A1. Merging Data Sources with R (Dan Tofan, 2019)/4. Joining Data Sets with dplyr/2. Inner Joins.mp4 15.5 MB
A1. Merging Data Sources with R (Dan Tofan, 2019)/2. Managing Vectors/5. Merging Vectors into a Matrix.mp4 15.4 MB
A1. Merging Data Sources with R (Dan Tofan, 2019)/2. Managing Vectors/3. Merging Values into a Vector.mp4 15.3 MB
B1. Reshaping Data with R (Okan Bulut, 2020)/5. Reshaping Data Based on Aggregated Values/4. Demo - Base R.mp4 15.2 MB
B1. Reshaping Data with R (Okan Bulut, 2020)/5. Reshaping Data Based on Aggregated Values/5. Demo - dplyr.mp4 14.6 MB
A1. Merging Data Sources with R (Dan Tofan, 2019)/3. Joining Data Sets with the Merge() Function/1. Data Frames.mp4 13.7 MB
A2. Splitting and Combining Data with R (Mariah Weatherford, 2019)/4. Plotting Combined Data/4. Demo - Choosing a Metric.mp4 13.2 MB
B1. Reshaping Data with R (Okan Bulut, 2020)/2. Introduction/5. Demo.mp4 13.2 MB
A1. Merging Data Sources with R (Dan Tofan, 2019)/3. Joining Data Sets with the Merge() Function/5. Data Frame Relationships.mp4 12.9 MB

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【影视】 [DesireCourse.Net] Udemy - Data Science Masterclass With R! 4 Projects+8 Case Studies

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16. SUPERVISED LEARNING REGRESSION/5. Linear Regression 5.mp4 259.5 MB
18. Logistic Regression/7. Telecom Churn Case Study.mp4 259.4 MB
30. Capstone Project - Big Mart Sell/5. Big Mart Sale - Pre-Processing.mp4 246.5 MB
16. SUPERVISED LEARNING REGRESSION/3. Linear Regression 3.mp4 244.4 MB
3. Course Curriculum Overview/1. What We are Going to Discuss Over the Course.vtt 229.3 MB
3. Course Curriculum Overview/1. What We are Going to Discuss Over the Course.mp4 229.2 MB
24. Capstone Project - Titanic Survival/9. Capstone Project - Decision Tree.mp4 216.2 MB
29. Association Rule Mining/4. Association Rule Mining - Case Study.mp4 214.0 MB
30. Capstone Project - Big Mart Sell/6. Big Mart Sale - Model Building & Evaluation.mp4 210.8 MB
31. Model Deployment/3. Model Deployment - Steps To Follow.mp4 209.1 MB
24. Capstone Project - Titanic Survival/7. Capstone Project - Logistics Regression.mp4 202.9 MB
8. Data Manipulation/4. Data Manipulation - mutate.mp4 195.3 MB
8. Data Manipulation/5. Data Manipulation - filter.mp4 195.2 MB
28. Principal Component Analysis (PCA)/2. PCA - R Code Implementation.mp4 190.7 MB
16. SUPERVISED LEARNING REGRESSION/4. Linear Regression 4.mp4 188.1 MB
19. K-NN/4. K-NN Case Study.mp4 186.2 MB
25. K-Mean Clustering/3. K-Mean Clustering R Code Implementation.mp4 182.5 MB
28. Principal Component Analysis (PCA)/3. PCA - Case Study.mp4 180.1 MB
10. Introduction To Statistics/12. Intro To Stat - Part 7.mp4 177.0 MB
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【其他】 Truefire - Frank Vignola's Vamps Jams and Improvisation - DATA-DVD (2009)

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Frank Vignola - Vamps Jams and Improvisation D1/data/cat_1/les_10/fv10s2.swf 47.4 MB
Frank Vignola - Vamps Jams and Improvisation D1/data/cat_1/les_1/fv01r1.swf 47.3 MB
Frank Vignola - Vamps Jams and Improvisation D1/data/cat_1/les_8/fv08s1.swf 44.3 MB
Frank Vignola - Vamps Jams and Improvisation D2/data/cat_1/les_7/fv17r1.swf 43.2 MB
Frank Vignola - Vamps Jams and Improvisation D1/data/cat_1/les_5/fv05r2.swf 42.3 MB
Frank Vignola - Vamps Jams and Improvisation D1/data/cat_1/les_9/fv09r1.swf 41.3 MB
Frank Vignola - Vamps Jams and Improvisation D2/data/cat_1/les_8/fv18s1.swf 40.9 MB
Frank Vignola - Vamps Jams and Improvisation D2/data/cat_1/les_2/fv12s2.swf 40.3 MB
Frank Vignola - Vamps Jams and Improvisation D2/data/cat_1/les_2/fv12s1.swf 40.0 MB
Frank Vignola - Vamps Jams and Improvisation D2/data/cat_1/les_10/fv20s2.swf 39.7 MB
Frank Vignola - Vamps Jams and Improvisation D1/data/cat_1/les_7/fv07r1.swf 39.1 MB
Frank Vignola - Vamps Jams and Improvisation D1/data/cat_1/les_6/fv06s1.swf 38.9 MB
Frank Vignola - Vamps Jams and Improvisation D2/data/cat_1/les_1/fv11r1.swf 38.6 MB
Frank Vignola - Vamps Jams and Improvisation D2/data/cat_1/les_8/fv18s2.swf 38.5 MB
Frank Vignola - Vamps Jams and Improvisation D1/data/cat_1/les_6/fv06s2.swf 38.2 MB
Frank Vignola - Vamps Jams and Improvisation D1/data/cat_1/les_5/fv05r1.swf 38.0 MB
Frank Vignola - Vamps Jams and Improvisation D1/data/cat_1/les_3/fv03r1.swf 36.8 MB
Frank Vignola - Vamps Jams and Improvisation D2/data/cat_1/les_5/fv15r1.swf 36.0 MB
Frank Vignola - Vamps Jams and Improvisation D2/data/cat_1/les_9/fv19r2.swf 35.9 MB
Frank Vignola - Vamps Jams and Improvisation D2/data/cat_1/les_9/fv19r1.swf 33.8 MB

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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Introduction To Azure Data Factory.zip

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