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- 【影视】 2021 Python for Machine Learning & Data Science Masterclass
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收录时间:2021-03-31
文档个数:525
文档大小:11.4 GB
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人气:2728
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[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/5. Pandas/29. Pandas Project Exercise Solutions.mp4 190.4 MB
[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/13. Logistic Regression/16. Logistic Regression Project Exercise - Solutions.mp4 176.6 MB
[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/8. Data Analysis and Visualization Capstone Project Exercise/4. Capstone Project Solutions - Part Three.mp4 150.9 MB
[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/11. Feature Engineering and Data Preparation/3. Dealing with Outliers.mp4 147.9 MB
[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/17. Random Forests/7. Coding Classification with Random Forest Classifier - Part Two.mp4 145.8 MB
[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/16. Tree Based Methods Decision Tree Learning/8. Coding Decision Trees - Part Two -Creating the Model.mp4 143.0 MB
[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/5. Pandas/27. Pandas Pivot Tables.mp4 135.0 MB
[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/7. Seaborn Data Visualizations/2. Scatterplots with Seaborn.mp4 134.9 MB
[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/11. Feature Engineering and Data Preparation/5. Dealing with Missing Data Part Two - Filling or Dropping data based on Rows.mp4 131.3 MB
[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/6. Matplotlib/11. Matplotlib Exercise Questions - Solutions.mp4 129.1 MB
[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/11. Feature Engineering and Data Preparation/6. Dealing with Missing Data Part 3 - Fixing data based on Columns.mp4 128.7 MB
[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/8. Data Analysis and Visualization Capstone Project Exercise/2. Capstone Project Solutions - Part One.mp4 122.6 MB
[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/16. Tree Based Methods Decision Tree Learning/7. Coding Decision Trees - Part One - The Data.mp4 120.7 MB
[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/5. Pandas/5. DataFrames - Part One - Creating a DataFrame.mp4 119.6 MB
[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/14. KNN - K Nearest Neighbors/4. KNN Coding with Python - Part Two - Choosing K.mp4 117.8 MB
[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/7. Seaborn Data Visualizations/8. Categorical Plots - Distributions within Categories - Coding with Seaborn.mp4 116.6 MB
[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/8. Data Analysis and Visualization Capstone Project Exercise/3. Capstone Project Solutions - Part Two.mp4 116.4 MB
[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/13. Logistic Regression/14. Multi-Class Classification with Logistic Regression - Part Two - Model.mp4 116.4 MB
[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/7. Seaborn Data Visualizations/14. Seaborn Plot Exercises Solutions.mp4 116.0 MB
[TutsNode.com] - 2021 Python for Machine Learning & Data Science Masterclass/14. KNN - K Nearest Neighbors/6. KNN Classification Project Exercise Solutions.mp4 115.1 MB
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- 【影视】 [CourseClub.Me] O'REILLY - Python for Data Science Complete Video Course Video Training
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48 - 9.2 Learn SciPy.mp4 697.3 MB
77 - 14.4 Use function-based concurrency.mp4 637.7 MB
08 - 2.2 Manage Colab documents.mp4 473.7 MB
84 - 16.1 PyTest.mp4 391.0 MB
24 - 5.1 Use lists and tuples.mp4 387.9 MB
85 - 16.2 Visual Studio Code.mp4 382.4 MB
79 - 15.1 Share with Github.mp4 375.5 MB
50 - 9.4 Learn TensorFlow.mp4 358.5 MB
75 - 14.2 Read and write with Pandas - CSV, JSON.mp4 352.8 MB
49 - 9.3 Learn Pandas.mp4 351.9 MB
07 - 2.1 Create your first Colab document.mp4 344.8 MB
45 - 8.5 Advanced Use of Functions.mp4 334.5 MB
72 - 13.3 Sort in Pandas.mp4 316.6 MB
47 - 9.1 Learn NumPy.mp4 301.9 MB
67 - 12.2 Use regular expressions.mp4 298.4 MB
52 - 9.6 Use Plotly for interactive plots.mp4 274.8 MB
51 - 9.5 Use Seaborn for 2D plots.mp4 274.4 MB
10 - 2.4 Understand compatibility with Jupyter.mp4 270.6 MB
53 - 9.7 Specialized Visualization Libraries.mp4 253.4 MB
27 - 5.4 Work with the numpy array.mp4 245.8 MB
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- 【影视】 [FreeCourseSite.com] Udemy - The Coding Interview Bootcamp Algorithms + Data Structures
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14. Enter the Matrix Spiral/4. More on Spiral.mp4 54.9 MB
21. Linked Lists/31. Brushup on Generators.mp4 47.5 MB
11. Printing Steps/6. More on Steps.mp4 40.1 MB
30. Building Twitter - A Design Question/1. How to Build Twitter.mp4 35.8 MB
28. Validating a Binary Search Tree/4. Solution to Validation.mp4 34.3 MB
26. Tree Width with Level Width/1. Level Width Declaration.mp4 31.3 MB
15. Runtime Complexity/3. More on Runtime Complexity.mp4 31.2 MB
9. Anagrams/3. Solving Anagrams.mp4 28.4 MB
16. Runtime Complexity in Practice - Fibonacci/5. Memoi-....Mem-...Memoization!.mp4 28.0 MB
16. Runtime Complexity in Practice - Fibonacci/6. I Believe Its Memoization!.mp4 27.1 MB
21. Linked Lists/25. RemoveAt Solution.mp4 27.0 MB
20. Two Become One/4. More on Queue From Stack.mp4 26.9 MB
22. Find the Midpoint/1. Midpoint of a Linked List.mp4 26.9 MB
16. Runtime Complexity in Practice - Fibonacci/4. Fibonacci Series Recursive Solution.mp4 24.9 MB
15. Runtime Complexity/2. Determining Complexity.mp4 24.6 MB
12. Two Sided Steps - Pyramids/3. Pyramid Solution #1.mp4 24.0 MB
21. Linked Lists/27. InsertAt Solution.mp4 23.8 MB
3. String Reversal/6. Debugger Statements.mp4 23.4 MB
33. Ack, MergeSort!/5. I Don't Like Recursion, But Let's Do This Anyways.mp4 23.2 MB
12. Two Sided Steps - Pyramids/4. Pyramid Solution #2.srt 22.7 MB
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- 【影视】 Python for Data Science and Machine Learning Bootcamp [UDEMY]
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26 Neural Nets and Deep Learning/135 TensorFlow Installation.mp4 96.4 MB
25 Big Data and Spark with Python/125 EC2 Instance Set-Up.mp4 90.7 MB
18 K Nearest Neighbors/094 KNN Project Solutions.mp4 74.3 MB
25 Big Data and Spark with Python/130 RDD Transformations and Actions.mp4 74.2 MB
25 Big Data and Spark with Python/127 PySpark Setup.mp4 74.0 MB
11 Python for Data Visualization - Plotly and Cufflinks/059 Plotly and Cufflinks.mp4 65.6 MB
09 Python for Data Visualization - Seaborn/047 Distribution Plots.mp4 64.7 MB
13 Data Capstone Project/071 Finance Project - Solutions Part 1.mp4 63.4 MB
13 Data Capstone Project/068 911 Calls Solutions - Part 2.mp4 61.7 MB
24 Natural Language Processing/118 NLP Project Solutions.mp4 60.5 MB
21 K Means Clustering/107 K Means Project Solutions.mp4 59.5 MB
26 Neural Nets and Deep Learning/139 MNIST with Multi-Layer Perceptron - Part 3.mp4 59.5 MB
15 Linear Regression/083 Linear Regression Project Solution.mp4 59.2 MB
20 Support Vector Machines/101 Support Vector Machines with Python.mp4 58.9 MB
13 Data Capstone Project/072 Finance Project - Solutions Part 2.mp4 58.6 MB
12 Python for Data Visualization - Geographical Plotting/061 Choropleth Maps - Part 1 - USA.mp4 57.6 MB
18 K Nearest Neighbors/092 KNN with Python.mp4 57.3 MB
26 Neural Nets and Deep Learning/142 Tensorflow Project Exercise - Solutions.mp4 55.3 MB
15 Linear Regression/080 Linear Regression with Python - Part 1.mp4 54.8 MB
07 Python for Data Analysis - Pandas Exercises/038 Ecommerce Purchases Exercise Solutions.mp4 54.5 MB
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- 【影视】 Pluralsight - Design a Data Protection Strategy with Microsoft Azure by John Savill
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3. Protecting Data Access/4. Data Scalability.mp4 32.4 MB
1. Covering Data Protection Basics/5. Protecting User Data.mp4 25.7 MB
3. Protecting Data Access/5. Data Availability.mp4 20.9 MB
1. Covering Data Protection Basics/2. Why Data Needs to Be Protected.mp4 20.7 MB
2. Utilizing Data Encryption Technologies/4. Azure Database Service Encryption.mp4 19.6 MB
2. Utilizing Data Encryption Technologies/2. Azure Key Vault.mp4 16.4 MB
2. Utilizing Data Encryption Technologies/5. Encryption in Transit.mp4 14.9 MB
2. Utilizing Data Encryption Technologies/3. Azure Storage Service Encryption.mp4 14.9 MB
3. Protecting Data Access/3. Limiting Resource Access.mp4 14.3 MB
2. Utilizing Data Encryption Technologies/1. Types of Encryption.mp4 12.9 MB
1. Covering Data Protection Basics/3. How Data Can Be Protected.mp4 12.3 MB
1. Covering Data Protection Basics/6. Enterprise Data Loss Prevention for Cloud Resources.mp4 11.9 MB
3. Protecting Data Access/2. Secure Data Access.mp4 11.5 MB
3. Protecting Data Access/1. Requirements for Data Access.mp4 8.2 MB
1. Covering Data Protection Basics/7. Network Security.mp4 7.8 MB
2. Utilizing Data Encryption Technologies/6. Encryption in Use.mp4 5.6 MB
1. Covering Data Protection Basics/4. Where Is the Data-.mp4 4.3 MB
microsoft-azure-data-protection-strategy-design.zip 2.9 MB
1. Covering Data Protection Basics/1. Why This Is important.mp4 2.3 MB
0. Course Overview/0. Course Overview.mp4 2.2 MB
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- 【影视】 [skillbox] Основы математики для Data Science (2020)
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2.Аналитика и ML. Базовые математические объекты и SymPy. Необходимые функции и некоторые дополнительные объекты/2.2 Степени и их свойства.mp4 138.8 MB
3.Аналитика и ML. Функции одной переменной, их свойства и графики/3.4 Элементарные функции и их свойства.mp4 129.4 MB
10.ML. Линейная регрессия и системы линейных уравнений/10.2 Задача аппроксимации как система линейных уравнений.mp4 121.4 MB
9.ML. Вектора и Матрицы. Градиент/9.3 Скалярное произведение векторов и линейная модель.mp4 101.2 MB
10.ML. Линейная регрессия и системы линейных уравнений/10.3 Представление СЛАУ в виде матричного уравнения.mp4 94.8 MB
5.ML. Аппроксимация и преобразования функций/5.2 Функция потерь.mp4 90.1 MB
6.ML. Аппроксимация и производные/6.6 Минимум MSE и техники вычисления производных (часть 2).mp4 90.1 MB
5.ML. Аппроксимация и преобразования функций/5.3 Преобразования функций. Сдвиги вправо и влево.mp4 88.8 MB
4.ML. Интерполяция и полиномы/4.2 Полиномы и интерполяция.mp4 88.2 MB
9.ML. Вектора и Матрицы. Градиент/9.5 Вектор функций и градиент.mp4 87.2 MB
7.ML. Функции нескольких переменных, их свойства и графики/7.2 Определение функции нескольких переменных.mp4 86.9 MB
10.ML. Линейная регрессия и системы линейных уравнений/10.1 Введение.mp4 86.5 MB
8.ML. Частные производные функции нескольких переменных/8.2 Задача аппроксимации функцией многих переменных.mp4 82.9 MB
11.Задача аппроксимации как матричное уравнение/11.3 Детерминант и нахождение обратных матриц (часть 1).mp4 82.5 MB
1.Аналитика и ML. Базовые математические объекты и SymPy. Дроби и преобразования/1.2 Основные операции с дробями.mp4 79.8 MB
6.ML. Аппроксимация и производные/6.8 Сигмоида и еще несколько правил вычисления производных.mp4 79.3 MB
10.ML. Линейная регрессия и системы линейных уравнений/10.5 Переопределенные СЛАУ.mp4 74.3 MB
10.ML. Линейная регрессия и системы линейных уравнений/10.4 Решение СЛАУ с помощью sympy.mp4 69.0 MB
2.Аналитика и ML. Базовые математические объекты и SymPy. Необходимые функции и некоторые дополнительные объекты/2.4 Логарифмы и их свойства.mp4 69.0 MB
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】 [FreeAllCourse.Com] Udemy - Python for Data Structures, Algorithms, and Interviews!
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15. Recursion/12. Recursion Interview Problem - 4 - SOLUTION.mp4 73.6 MB
18. Graph Algorithms/4. Implementation of a Graph (Adjacency List).mp4 66.6 MB
17. Searching and Sorting/7. Implementation of a Hash Table.mp4 63.5 MB
16. Trees/7. Binary Heap Implementation.mp4 56.0 MB
11. Algorithm Analysis and Big O/4. Big O Examples.mp4 49.8 MB
12. Array Sequences/2. Low Level Arrays.mp4 45.6 MB
12. Array Sequences/4. Dynamic Array Excercise.mp4 45.5 MB
16. Trees/9. Implementation of Binary Search Trees - Part 1.mp4 44.7 MB
15. Recursion/10. Recursion Interview Problem - 3 - SOLUTION.mp4 42.7 MB
12. Array Sequences/12. Find the Missing Element - Interview Problem - SOLUTION.mp4 41.1 MB
15. Recursion/8. Recursion Interview Problem - 2 - SOLUTION.mp4 38.8 MB
21. Mock Interview 1 - E-Commerce Company/7. On Site Question 1 -SOLUTION.mp4 38.8 MB
18. Graph Algorithms/9. Implementation of Graph Overview.mp4 38.3 MB
16. Trees/10. Implementation of Binary Search Trees - Part 2.mp4 38.1 MB
15. Recursion/3. Recursion Homework Example Problems - SOLUTIONS.mp4 37.9 MB
17. Searching and Sorting/22. Implementation of Quick Sort.mp4 36.6 MB
17. Searching and Sorting/20. Implementation of Merge Sort.mp4 35.3 MB
17. Searching and Sorting/6. Hashing.mp4 34.8 MB
11. Algorithm Analysis and Big O/3. Big O Notation.mp4 34.2 MB
18. Graph Algorithms/6. Breadth First Search.mp4 33.8 MB
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- 【影视】 [FreeCourseSite.com] Udemy - Taming Big Data with Apache Spark and Python - Hands On!
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1. Getting Started with Spark/4. [Activity]Getting Set Up Installing Python, a JDK, Spark, and its Dependencies..mp4 238.1 MB
2. Spark Basics and the RDD Interface/1. What's new in Spark 3.mp4 159.0 MB
4. Advanced Examples of Spark Programs/11. [Activity] Running the Similar Movies Script using Spark's Cluster Manager.mp4 144.9 MB
5. Running Spark on a Cluster/2. [Activity] Setting up your AWS Elastic MapReduce Account and Setting Up PuTTY.srt 118.2 MB
5. Running Spark on a Cluster/2. [Activity] Setting up your AWS Elastic MapReduce Account and Setting Up PuTTY.mp4 118.1 MB
2. Spark Basics and the RDD Interface/5. KeyValue RDD's, and the Average Friends by Age Example.mp4 115.7 MB
5. Running Spark on a Cluster/5. [Activity] Create Similar Movies from One Million Ratings - Part 2.mp4 109.3 MB
6. Machine Learning with Spark ML/4. [Activity] Linear Regression with Spark ML.mp4 106.5 MB
6. Machine Learning with Spark ML/2. [Activity] Using Spark ML to Produce Movie Recommendations.mp4 105.4 MB
4. Advanced Examples of Spark Programs/9. [Activity] Superhero Degrees of Separation Review the Code and Run it.mp4 98.6 MB
3. SparkSQL, DataFrames, and DataSets/7. [Activity] Minimum Temperature, with DataFrames (using a custom schema).mp4 98.2 MB
4. Advanced Examples of Spark Programs/2. [Activity] Use Broadcast Variables to Display Movie Names Instead of ID Numbers.mp4 95.1 MB
4. Advanced Examples of Spark Programs/4. [Activity] Run the Script - Discover Who the Most Popular Superhero is!.mp4 91.9 MB
2. Spark Basics and the RDD Interface/4. Ratings Histogram Walkthrough.mp4 87.1 MB
8. You Made It! Where to Go from Here/1. Learning More about Spark and Data Science.mp4 87.0 MB
7. Spark Streaming, Structured Streaming, and GraphX/2. [Activity] Structured Streaming in Python.mp4 84.9 MB
3. SparkSQL, DataFrames, and DataSets/5. Exercise Solution Friends by Age, with DataFrames.mp4 75.1 MB
2. Spark Basics and the RDD Interface/3. The Resilient Distributed Dataset (RDD).mp4 72.1 MB
3. SparkSQL, DataFrames, and DataSets/2. [Activity] Executing SQL commands and SQL-style functions on a DataFrame.mp4 70.3 MB
7. Spark Streaming, Structured Streaming, and GraphX/4. Exercise Solution Using Structured Streaming with Windows.mp4 69.9 MB
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- 【影视】 [FreeCourseSite.com] Udemy - Master SQL For Data Science
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10. Window Functions for Analytics/5. Working with Rollups and Cubes.mp4 117.4 MB
10. Window Functions for Analytics/3. RANK, FIRST_VALUE and NTILE Functions.mp4 116.6 MB
9. Working with Multiple Tables/6. Creating Views vs. Inline Views.mp4 84.3 MB
2. Database Basics/4. Install Postgres on Windows.mp4 75.1 MB
10. Window Functions for Analytics/4. LEAD and LAG Functions.mp4 66.2 MB
1. Chapter 1/1. Course Overview.mp4 55.4 MB
2. Database Basics/5. Create Table and Insert Statements.mp4 45.4 MB
9. Working with Multiple Tables/2. INNER and OUTER Joins + [EXERCISES].mp4 42.7 MB
3. SQL Query Basics/2. Filter Data Using the WHERE Clause + AND & OR.mp4 42.4 MB
2. Database Basics/7. Prepare the Database.mp4 41.9 MB
10. Window Functions for Analytics/2. Ordering Data in Window Frames.mp4 36.5 MB
7. Using the CASE Clause in Interesting Ways/1. Conditional Expressions Using CASE Clause + [EXERCISES].mp4 34.7 MB
6. Using Subqueries/4. Subqueries with ANY and ALL Operators + [EXERCISES].mp4 34.6 MB
3. SQL Query Basics/1. Introducing the SELECT Statement.mp4 34.4 MB
8. Advanced Query Techniques using Correlated Subqueries/1. Understanding Correlated Subqueries.mp4 33.6 MB
7. Using the CASE Clause in Interesting Ways/2. Transposing Data using the CASE Clause + [EXERCISES].mp4 31.7 MB
3. SQL Query Basics/3. Filtering Operators - IN, NOT IN, IS NULL, BETWEEN.mp4 31.6 MB
10. Window Functions for Analytics/1. Window Functions using the OVER() Clause.mp4 31.3 MB
6. Using Subqueries/3. Subqueries Continued + [EXERCISES].mp4 31.2 MB
9. Working with Multiple Tables/5. [EXERCISES] Joins and Subqueries Continued.mp4 28.7 MB
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21. Bonus Extra Bits/7. AMA - 100,000 Students!!.mp4 900.8 MB
4. How To Solve Coding Problems/6. Exercise Interview Question 2.mp4 243.4 MB
6. Data Structures Arrays/4. Optional Classes In Javascript.mp4 226.8 MB
5. Data Structures Introduction/3. How Computers Store Data.mp4 214.8 MB
2. Getting More Interviews/6. What If I Don't Have Enough Experience.mp4 212.7 MB
4. How To Solve Coding Problems/5. Exercise Interview Question.mp4 208.2 MB
2. Getting More Interviews/3. Exercise Resume Walkthrough.mp4 203.4 MB
17. Offer + Negotiation/3. Negotiation 101.mp4 177.0 MB
9. Data Structures Stacks + Queues/7. Optional How Javascript Works.mp4 173.4 MB
17. Offer + Negotiation/4. Handling An Offer.mp4 165.9 MB
16. Non Technical Interviews/2. During The Interview.mp4 164.6 MB
16. Non Technical Interviews/13. Secret Weapon.mp4 149.0 MB
17. Offer + Negotiation/6. Getting A Raise.mp4 139.4 MB
20. Contributing To Open Source To Gain Experience/1. Contributing To Open Source.mp4 136.5 MB
17. Offer + Negotiation/5. Handling Multiple Offers.mp4 136.5 MB
7. Data Structures Hash Tables/6. Solution Implement A Hash Table.mp4 128.7 MB
13. Algorithms Sorting/18. Quick Sort.mp4 125.8 MB
2. Getting More Interviews/12. Email.mp4 121.7 MB
6. Data Structures Arrays/5. Implementing An Array.mp4 119.1 MB
20. Contributing To Open Source To Gain Experience/2. Contributing To Open Source 2.mp4 118.4 MB
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- 【影视】 [Udemy] Python Real World Data Science Mega Project Car Buyer App (2020)
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6. FINDING MY DREAM CAR/5. 4-05 Application of the Methodology (and the Results!).mp4 355.3 MB
6. FINDING MY DREAM CAR/3. 4-03 Creation of the Carpools I.mp4 282.7 MB
7. THE ADD-ONs/1. 5-01 Refinements of the Methodology.mp4 218.9 MB
7. THE ADD-ONs/2. 5-02 How to run this.mp4 217.9 MB
5. SCRAPE THE THIRD WEBSITE/8. 3-08 Solutions 1-2.mp4 163.8 MB
6. FINDING MY DREAM CAR/4. 4-04 Creation of the Carpools II.mp4 150.6 MB
5. SCRAPE THE THIRD WEBSITE/5. 3-05 flip_pages Function.mp4 150.2 MB
5. SCRAPE THE THIRD WEBSITE/4. 3-04 Parse Function.mp4 148.8 MB
3. SCRAPE THE FIRST WEBSITE/5. 1-05 Spider Response Validation.mp4 147.4 MB
4. SCRAPE THE SECOND WEBSITE/5. 2-05 Parse Function I.mp4 119.6 MB
5. SCRAPE THE THIRD WEBSITE/1. 3-01 Site Investigation I.mp4 113.1 MB
4. SCRAPE THE SECOND WEBSITE/4. 2-04 Locating Data.mp4 100.6 MB
4. SCRAPE THE SECOND WEBSITE/8. 2-08 flip_pages Function I.mp4 99.0 MB
4. SCRAPE THE SECOND WEBSITE/10. 2-10 Error Analysis.mp4 90.2 MB
5. SCRAPE THE THIRD WEBSITE/9. 3-09 Solution 3.mp4 86.2 MB
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10. Window Functions for Analytics/5. Working with Rollups and Cubes.mp4 117.4 MB
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2. Database Basics/7. Prepare the Database.mp4 41.9 MB
10. Window Functions for Analytics/2. Ordering Data in Window Frames.mp4 36.5 MB
7. Using the CASE Clause in Interesting Ways/1. Conditional Expressions Using CASE Clause + [EXERCISES].mp4 34.7 MB
6. Using Subqueries/4. Subqueries with ANY and ALL Operators + [EXERCISES].mp4 34.6 MB
3. SQL Query Basics/1. Introducing the SELECT Statement.mp4 34.4 MB
8. Advanced Query Techniques using Correlated Subqueries/1. Understanding Correlated Subqueries.mp4 33.6 MB
7. Using the CASE Clause in Interesting Ways/2. Transposing Data using the CASE Clause + [EXERCISES].mp4 31.7 MB
3. SQL Query Basics/3. Filtering Operators - IN, NOT IN, IS NULL, BETWEEN.mp4 31.6 MB
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3. Examining Cisco Server Abstraction/1. Examining UCS Identity Abstraction.mp4 10.0 MB
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15. Regressões lineares/5. Regressões lineares - Solução projeto.mp4 63.2 MB
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13. Projetos de análise de dados/4. Ligações para 911 - Parte 2.mp4 51.0 MB
9. Python para visualização de dados - Seaborn/2. Plots de distribuição.mp4 50.3 MB
24. Processamento de linguagem natural/3. NLP com Python - Parte 2.mp4 49.8 MB
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收录时间:2021-04-02
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[TutsNode.com] - TIBCO Cloud Spotfire Data Visualization and Analytics/03 Build Dashboards and Visualizations/011 Shipments Dashboard - Exercise.mp4 142.9 MB
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[TutsNode.com] - TIBCO Cloud Spotfire Data Visualization and Analytics/03 Build Dashboards and Visualizations/012 Product Category Sales Dashboard - Exercise.mp4 75.5 MB
[TutsNode.com] - TIBCO Cloud Spotfire Data Visualization and Analytics/03 Build Dashboards and Visualizations/013 Customer Segment Sales Dashboard - Exercise.mp4 72.8 MB
[TutsNode.com] - TIBCO Cloud Spotfire Data Visualization and Analytics/04 Present Insights and Publish to Spotfire Cloud/017 Tags and Bookmarks - Exercise.mp4 67.5 MB
[TutsNode.com] - TIBCO Cloud Spotfire Data Visualization and Analytics/04 Present Insights and Publish to Spotfire Cloud/018 Publish Dashboard to TIBCO Cloud - Exercise.mp4 64.0 MB
[TutsNode.com] - TIBCO Cloud Spotfire Data Visualization and Analytics/04 Present Insights and Publish to Spotfire Cloud/016 Filters - Exercise.mp4 59.2 MB
[TutsNode.com] - TIBCO Cloud Spotfire Data Visualization and Analytics/02 Load Data from a Data Source/006 Loading Data using a Data Connection (Web-Service) - Exercise.mp4 55.3 MB
[TutsNode.com] - TIBCO Cloud Spotfire Data Visualization and Analytics/02 Load Data from a Data Source/005 Loading Data from a Local File - Exercise.mp4 50.9 MB
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[TutsNode.com] - TIBCO Cloud Spotfire Data Visualization and Analytics/01 Introduction/001 Introduction.mp4 24.0 MB
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[TutsNode.com] - Tableau 2020/7. Advanced Data Preparation/3. Data Interpreter.mp4 143.5 MB
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文档个数:255
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4. Mac OS Installation Set-Up/1. Mac OS Installation Procedure.mp4 74.9 MB
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21. Machine Learning Project - Linear Regression/2. ML - Linear Regression Project - Solutions Part 1.mp4 62.4 MB
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20. Machine Learning with R - Linear Regression/2. Linear Regression with R - Part 1.mp4 58.3 MB
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20. Machine Learning with R - Linear Regression/3. Linear Regression with R - Part 2.mp4 56.6 MB
22. Machine Learning with R - Logistic Regression/3. Logistic Regression with R - Part 2.mp4 49.9 MB
24. Machine Learning with R - K Nearest Neighbors/2. K Nearest Neighbors with R.mp4 49.0 MB
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6. Development Environment Overview/2.1 R-Course-HTML-Notes.zip 47.8 MB
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25. Neural Nets and Deep Learning/23. TensorFlow 2.0 Project Notebook Overview.mp4 84.4 MB
2. Environment Set-Up/1. Python Environment Setup.mp4 80.1 MB
25. Neural Nets and Deep Learning/17. TF Regression Code Along - Exploratory Data Analysis - Continued.mp4 79.9 MB
25. Neural Nets and Deep Learning/10. Cost Functions and Gradient Descent.mp4 79.7 MB
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2.Market Basket Analysis/07.Where MBA Algorithms Are Useful.mp4 34.2 MB
2.Market Basket Analysis/08.Implementing MBA MapReduce Algorithm in Spark.mp4 30.3 MB
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5.Social Network Friend Recommendation/21.Solution — Examining Available Methods.mp4 26.6 MB
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1.Finding Top Selling Product/05.Drawing Conclusions from Top Sellers Data.mp4 25.5 MB
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