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data.bin 368.7 MB

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[DesireCourse.Com] Udemy - Python Pandas Data Manipulation and Analysis.zip 855.3 MB
[DesireCourse.Com].txt 828 Bytes
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【影视】 [FreeCourseLab.com] Udemy - Apache Kafka Series - Kafka Streams for Data Processing

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10. Testing your Kafka Streams Application/4. Hands-On Test your WordCount application.mp4 177.6 MB
8. Exactly Once Semantics - Practice Exercise - BankBalance/3. Kafka Producer Solution.mp4 44.3 MB
4. KStreams and KTables Simple Operations (Stateless)/12. Refresher on Log Compaction.mp4 40.7 MB
9. Joins - KStream to GlobalKTable example/4. Creating a join with UserEnrich Kafka Streams App.mp4 39.8 MB
8. Exactly Once Semantics - Practice Exercise - BankBalance/6. Running the BankBalance Application.mp4 38.7 MB
3. End to End Kafka Streams Application - Word Count/10. Running Application from IntelliJ IDEA.mp4 37.8 MB
10. Testing your Kafka Streams Application/3. Setup your Kafka Streams project.mp4 37.0 MB
1. Kafka Streams - First Look/4. Running your first Kafka Streams Application WordCount.mp4 33.9 MB
3. End to End Kafka Streams Application - Word Count/7. Word Count Application Topology.mp4 33.5 MB
8. Exactly Once Semantics - Practice Exercise - BankBalance/5. Kafka Streams Solution.mp4 29.2 MB
7. Exactly Once Semantics - Theory/1. What's Exactly Once.mp4 25.5 MB
5. Practice Exercise - FavouriteColour/3. Java Solution.mp4 24.5 MB
5. Practice Exercise - FavouriteColour/4. Running the application.mp4 23.9 MB
5. Practice Exercise - FavouriteColour/5. Scala Solution.mp4 22.3 MB
3. End to End Kafka Streams Application - Word Count/4. Starter Project Setup.mp4 22.0 MB
10. Testing your Kafka Streams Application/2. Testing in Kafka Streams.mp4 19.5 MB
9. Joins - KStream to GlobalKTable example/6. Running the Kafka Streams Join application.mp4 18.4 MB
3. End to End Kafka Streams Application - Word Count/5. Kafka Streams Application Properties.mp4 16.9 MB
3. End to End Kafka Streams Application - Word Count/13. Packaging the application as Fat Jar & Running the Fat Jar.mp4 15.8 MB
3. End to End Kafka Streams Application - Word Count/3. Environment and IDE Setup Java 8, Maven, IntelliJ IDEA.mp4 13.9 MB

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【影视】 [UsifRenegade] Digimon Data Squad (Savers) [HEVC][10bit][Dub]

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[UsifRenegade] Digimon Data Squad 19 - [HEVC][10bit][Dub].mkv 163.5 MB
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【影视】 [DMC.RIP] [Skillbox] Основы математики для Data Science (2020)

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[DMC.RIP] 3.Аналитика и ML. Функции одной переменной, их свойства и графики/[DMC.RIP] 3.4 Элементарные функции и их свойства.mp4 129.4 MB
[DMC.RIP] 10.ML. Линейная регрессия и системы линейных уравнений/10.2 Задача аппроксимации как система линейных уравнений.mp4 121.4 MB
[DMC.RIP] 9.ML. Вектора и Матрицы. Градиент/9.3 Скалярное произведение векторов и линейная модель.mp4 101.2 MB
[DMC.RIP] 10.ML. Линейная регрессия и системы линейных уравнений/10.3 Представление СЛАУ в виде матричного уравнения.mp4 94.8 MB
[DMC.RIP] 5.ML. Аппроксимация и преобразования функций/5.2 Функция потерь.mp4 90.1 MB
[DMC.RIP] 6.ML. Аппроксимация и производные/[DMC.RIP] 6.6 Минимум MSE и техники вычисления производных (часть 2).mp4 90.1 MB
[DMC.RIP] 5.ML. Аппроксимация и преобразования функций/5.3 Преобразования функций. Сдвиги вправо и влево.mp4 88.8 MB
[DMC.RIP] 9.ML. Вектора и Матрицы. Градиент/9.5 Вектор функций и градиент.mp4 87.2 MB
[DMC.RIP] 7.ML. Функции нескольких переменных, их свойства и графики/7.2 Определение функции нескольких переменных.mp4 86.9 MB
[DMC.RIP] 10.ML. Линейная регрессия и системы линейных уравнений/10.1 Введение.mp4 86.5 MB
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[DMC.RIP] 10.ML. Линейная регрессия и системы линейных уравнений/10.4 Решение СЛАУ с помощью sympy.mp4 69.0 MB
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[DMC.RIP] 11.Задача аппроксимации как матричное уравнение/11.4 Детерминант и нахождение обратных матриц (часть 2).mp4 68.8 MB
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【影视】 [CourseClub.Me] Udacity - Data Structures & Algorithms v1.0.0

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Part 07-Module 01-Lesson 01_Technical Interview - Python/07. Coding-zhQYREUI8Z0.mp4 110.1 MB
Part 07-Module 01-Lesson 01_Technical Interview - Python/08. Coding 2-qEteyPNRSwU.mp4 109.7 MB
Part 06-Module 01-Lesson 02_Take 30 Min to Improve your LinkedIn/02. Meet Chris-0ccflD9x5WU.mp4 34.1 MB
Part 07-Module 01-Lesson 01_Technical Interview - Python/05. Brainstorming-LJFYhMDCCsU.mp4 33.2 MB
Part 07-Module 01-Lesson 01_Technical Interview - Python/09. Debugging-Bz1tlvkql9Q.mp4 32.6 MB
Part 03-Module 01-Lesson 03_Faster Divide & Conquer Algorithms/07. D&C Median Algorithm Pseudocode-Wk5hEuBMvQc.mp4 28.2 MB
Part 06-Module 01-Lesson 03_Optimize Your GitHub Profile/14. Interview with Art - Part 3-M6PKr3S1rPg.mp4 26.3 MB
Part 02-Module 01-Lesson 03_Recursion/01. Recursion Introduction-_aI2Jch6Epk.mp4 25.9 MB
Part 01-Module 01-Lesson 04_Efficiency/01. Efficiency-I-RASDPbDrI.mp4 25.2 MB
Part 05-Module 01-Lesson 02_Data Types and Operators/19. String Methods-Bv7CAxVOONs.mp4 24.9 MB
Part 06-Module 01-Lesson 03_Optimize Your GitHub Profile/05. Interview with Art - Part 1-ClLYamtaO-Q.mp4 22.8 MB
Part 05-Module 01-Lesson 02_Data Types and Operators/10. Boolean Comparison and Logical Operators-iNNsUJIDtVU.mp4 22.7 MB
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Part 06-Module 01-Lesson 02_Take 30 Min to Improve your LinkedIn/03. Elevator Pitch-S-nAHPrkQrQ.mp4 21.6 MB
Part 05-Module 01-Lesson 04_Control Flow/07. Good And Bad Examples-95oLh3WtdhY.mp4 20.9 MB
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【影视】 [GigaCourse.com] Udemy - The Ultimate Hands-On Hadoop - Tame your Big Data!

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1. Learn all the buzzwords! And install the Hortonworks Data Platform Sandbox/4. Installing Hadoop [Step by Step].mp4 191.3 MB
1. Learn all the buzzwords! And install the Hortonworks Data Platform Sandbox/7. Overview of the Hadoop Ecosystem.mp4 92.8 MB
7. Querying your Data Interactively/2. [Activity] Setting up Drill.mp4 83.4 MB
5. Using relational data stores with Hadoop/7. [Activity] Install MySQL and import our movie data.mp4 77.7 MB
3. Programming Hadoop with Pig/4. [Activity] Find old 5-star movies with Pig.srt 76.3 MB
3. Programming Hadoop with Pig/4. [Activity] Find old 5-star movies with Pig.mp4 76.3 MB
1. Learn all the buzzwords! And install the Hortonworks Data Platform Sandbox/5. The Hortonworks and Cloudera Merger, and how it affects this course..mp4 69.6 MB
2. Using Hadoop's Core HDFS and MapReduce/8. [Activity] Installing Python, MRJob, and nano.mp4 69.3 MB
12. Learning More/1. Books and online resources.mp4 63.0 MB
6. Using non-relational data stores with Hadoop/12. Choosing a database technology.mp4 59.7 MB
6. Using non-relational data stores with Hadoop/1. Why NoSQL.mp4 54.0 MB
4. Programming Hadoop with Spark/6. [Activity] Movie recommendations with MLLib.mp4 46.9 MB
10. Analyzing Streams of Data/6. [Activity] Count words with Storm.mp4 46.7 MB
7. Querying your Data Interactively/8. [Activity] Install Presto, and query Hive with it..mp4 44.3 MB
8. Managing your Cluster/8. [Activity] Set up a simple Oozie workflow.mp4 43.3 MB
10. Analyzing Streams of Data/8. [Activity] Counting words with Flink.mp4 42.6 MB
10. Analyzing Streams of Data/2. [Activity] Analyze web logs published with Flume using Spark Streaming.mp4 42.2 MB
6. Using non-relational data stores with Hadoop/10. [Activity] Install MongoDB, and integrate Spark with MongoDB.mp4 42.0 MB
4. Programming Hadoop with Spark/3. [Activity] Find the movie with the lowest average rating - with RDD's.mp4 41.6 MB
4. Programming Hadoop with Spark/8. [Activity] Check your results against mine!.mp4 40.6 MB

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cr-rox3/data-recovery-for-android_full1035.part2.part1.rar 5.0 MB
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cr-rox3r/data-recovery-for-android_full1035.part2.rar 5.0 MB
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【影视】 [DesireCourse.Net] Udemy - Practical statistics for data and business analysis

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9. Data types/7. Quizzes and examples about data types.mp4 188.1 MB
7. Comparison between inferential ans descriptive statistics/2. Simplified viewpoint about descriptive and inferential statistics.mp4 92.9 MB
7. Comparison between inferential ans descriptive statistics/5. Population and sample in inferential statistics.mp4 63.9 MB
5. What is after data analysis/4. What is after data analysis .mp4 60.7 MB
3. Startup point of programming in data analysis/4. Where is my start up point to learn programming .mp4 59.4 MB
3. Startup point of programming in data analysis/7. Review about our questions related to programming.vtt 51.9 MB
3. Startup point of programming in data analysis/7. Review about our questions related to programming.mp4 51.9 MB
7. Comparison between inferential ans descriptive statistics/3. Data before and after descriptive statistics.mp4 51.2 MB
10. Center of numerical data/9. Examples of mode.mp4 46.9 MB
10. Center of numerical data/7. Examples of mean.mp4 43.7 MB
1. Getting Started/2. Introduction and overview about data analysis.mp4 43.4 MB
9. Data types/6. Difference between numerical and categorical data.mp4 41.7 MB
8. FAQ about descriptive statistics/2. What will we learn in descriptive statistics .mp4 39.6 MB
4. Example about programming and big data/1. Important introduction about SQL example.mp4 39.4 MB
9. Data types/5. Data types ( continuous vs discrete ).mp4 35.7 MB
10. Center of numerical data/8. Examples of median.mp4 34.2 MB
4. Example about programming and big data/9. Variety in big data.mp4 31.8 MB
5. What is after data analysis/3. Difference between data analytics and data science.mp4 31.3 MB
1. Getting Started/7. Collection about important questions related to data science.mp4 31.1 MB
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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Introduction to AI, Machine Learning and Data Science 2020.zip

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【影视】 [UdemyCourseDownloader] Complete Data Analysis Course with Pandas & NumPy Python

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09. Pandas Exercise/2. Pandas Exercise Solution - I.mp4 139.4 MB
09. Pandas Exercise/3. Pandas Exercise Solution - II.mp4 138.1 MB
05. Python Exercises/2. Solutions.mp4 114.7 MB
01. Introduction/1. What is Data analysis.mp4 100.4 MB
06. Numpy/2. Numpy indexing and selection, Functions.mp4 98.2 MB
18. Data cleaning/3. Data cleaning - Youtube Channel Dataset Part - 3.mp4 95.1 MB
17. Working with Time series data/2. Pandas Timestamp and Datetimeindex object.mp4 90.5 MB
08. Data Frame Pandas/2. Create Data Frame - random data + from File.mp4 89.6 MB
06. Numpy/1. Creating NumPy array.mp4 89.3 MB
08. Data Frame Pandas/13. sorting values.mp4 88.9 MB
08. Data Frame Pandas/3. Data frame attributes and methods.mp4 87.5 MB
01. Introduction/2. Introduction to Pandas.mp4 82.2 MB
08. Data Frame Pandas/15. .loc() and .iloc() method.mp4 78.7 MB
02. Installation and IDE/7. Getting started with Jupyter Lab.mp4 78.6 MB
01. Introduction/3. Course FAQ.mp4 77.2 MB
08. Data Frame Pandas/1. Introduction to Data Frame.mp4 76.6 MB
14. Working with Text Data/3. More String methods.mp4 74.4 MB
08. Data Frame Pandas/8. Filtering Data with one condition.mp4 71.9 MB
11. Pandas Options/1. max_rows , max_columns.mp4 69.3 MB
12. Visualize Data with Pandas/1. Display Stock data with Line Chart.mp4 66.9 MB

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【压缩文件】 [ FreeCourseWeb.com ] Google Certified Professional Data Engineer.zip

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【压缩文件】 [ DevCourseWeb.com ] Udemy - Python Data Structures, Algorithms and Time Complexity Guide.zip

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【影视】 Curso completo de Machine Learning Data Science en Python - COMPLETO

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8. Regresión logística con Python/7. Estimación con el método de máxima verosimilitud.mp4 476.4 MB
8. Regresión logística con Python/8. Crear un modelo logístico desde cero.mp4 461.6 MB
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