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LiveLessson - Data Science Fundamentals Part 1

  • 收录时间:2024-11-13 20:18:30
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文件列表

  1. 35 3.7 Parsing Data with Python—JSON and XML.mp4 208MB
  2. 79 6.13 Querying Across Datasets with Joins.mp4 171MB
  3. 17 2.3 Acquiring Data.mp4 164MB
  4. 52 4.11 Keeping Things DRY with Inheritance.mp4 151MB
  5. 22 2.8 Triadic Closure in Python.mp4 141MB
  6. 62 5.7 Creating and Querying Records with peewee.mp4 139MB
  7. 38 3.10 Parametric API Requests with Python.mp4 138MB
  8. 37 3.9 Working with APIs.mp4 137MB
  9. 47 4.6 Magic Methods, Class Attributes, and Introspection.mp4 136MB
  10. 51 4.10 Customizing Model Interfaces with Setter Methods and Virtual Attributes.mp4 129MB
  11. 78 6.12 Joins with peewee.mp4 129MB
  12. 18 2.4 Wrangling Data.mp4 121MB
  13. 48 4.7 Exploring and Structuring the Foursquare Response.mp4 119MB
  14. 19 2.5 Exploring Data.mp4 118MB
  15. 61 5.6 ORMs in Python with peewee.mp4 118MB
  16. 68 6.2 Understanding your Data Quickly with Graphical Tools.mp4 117MB
  17. 56 5.1 Introduction to Databases with SQLite.mp4 116MB
  18. 76 6.10 Ranking and Sorting Venues.mp4 115MB
  19. 70 6.4 Data Quality Checks with peewee.mp4 113MB
  20. 49 4.8 Data Models Applied—Representing Foursquare Entities with Classes.mp4 112MB
  21. 40 3.12 Downloading Foursquare Venues.mp4 109MB
  22. 05 1.3 The Potential of Data Science.mp4 105MB
  23. 09 1.7 Test Your Knowledge - Wordbuzz.mp4 91MB
  24. 24 2.10 Obtaining an Evaluation Baseline.mp4 89MB
  25. 25 2.11 Inspecting and Evaluating Results.mp4 87MB
  26. 69 6.3 Inspecting Databases and Building Schemas with peewee.mp4 87MB
  27. 46 4.5 Defining Methods and Updating State.mp4 84MB
  28. 29 3.1 The Data Science Mindset.mp4 83MB
  29. 50 4.9 Modeling Behavior with Methods.mp4 82MB
  30. 26 2.12 Present and Disseminate.mp4 81MB
  31. 33 3.5 Making HTTP Requests with Python.mp4 81MB
  32. 59 5.4 What's in a Schema Mapping Data Models to Data Tables.mp4 81MB
  33. 43 4.2 Data Models—Adding Structure to Data.mp4 80MB
  34. 01 Data Science Fundamentals Part 1 - Introduction.mp4 79MB
  35. 31 3.3 Where to Get Data - Sources and Services.mp4 74MB
  36. 39 3.11 Exploring the Foursquare API.mp4 74MB
  37. 20 2.6 Recommendations through Triangle Closing.mp4 71MB
  38. 53 4.12 Object-Oriented Programming Use Cases.mp4 70MB
  39. 81 6.15 A Visual Introduction to Joins with SQL.mp4 66MB
  40. 74 6.8 Inspecting Queries and Displaying Results in peewee.mp4 65MB
  41. 75 6.9 Groups and Aggregates with peewee.mp4 65MB
  42. 58 5.3 The Database Landscape.mp4 63MB
  43. 07 1.5 A Python (3) Primer.mp4 63MB
  44. 57 5.2 Inspecting Databases with the SQLite shell.mp4 62MB
  45. 34 3.6 Adding Context with Open Data.mp4 60MB
  46. 32 3.4 How the Web Works.mp4 59MB
  47. 71 6.5 Finding Missing Data and Null Values with peewee.mp4 59MB
  48. 67 6.1 Introduction to Exploratory Data Analysis.mp4 59MB
  49. 45 4.4 Creating Classes in Python.mp4 57MB
  50. 21 2.7 Python Development Workflow.mp4 53MB
  51. 54 4.13 The Case for (and against) OOP.mp4 51MB
  52. 12 1.10 Python for Data Science.mp4 50MB
  53. 36 3.8 Data and File Formats.mp4 48MB
  54. 63 5.8 End-to-end ETL in Python.mp4 48MB
  55. 10 1.8 Wordbuzz - Putting it all Together.mp4 46MB
  56. 30 3.2 The Data Science Technology Stack.mp4 44MB
  57. 16 2.2 Defining Your Problem.mp4 44MB
  58. 82 Data Science Fundamentals Part 1 - Sunmary.mp4 38MB
  59. 44 4.3 Building Abstractions—Object Oriented Programming.mp4 35MB
  60. 13 1.11 What’s to Come.mp4 35MB
  61. 60 5.5 Introduction to Object Relational Mappers.mp4 33MB
  62. 65 5.10 Extract, Transform, Load—Putting It All Together.mp4 30MB
  63. 11 1.9 Python Review and Resources.mp4 30MB
  64. 42 4.1 Introduction to the ETL Pipeline.mp4 29MB
  65. 23 2.9 Challenges of Recommendation Systems.mp4 27MB
  66. 04 1.2 Why Data Science and Why Now.mp4 27MB
  67. 72 6.6 Dealing with Missing Data.mp4 27MB
  68. 77 6.11 SQL Relations and Joins.mp4 26MB
  69. 06 1.4 Getting Set Up with a Data Science Development Environment.mp4 23MB
  70. 80 6.14 Translating peewee to SQL.mp4 22MB
  71. 28 Topics.mp4 19MB
  72. 02 Topics.mp4 18MB
  73. 08 1.6 Python 2 versus Python 3.mp4 17MB
  74. 15 2.1 Introduction to the Data Science Process.mp4 16MB
  75. 64 5.9 Advantages and Disadvantages of ORMs.mp4 15MB
  76. 66 Topics.mp4 15MB
  77. 55 Topics.mp4 15MB
  78. 73 6.7 EDA for Insight—Describing Data.mp4 15MB
  79. 14 Topics.mp4 14MB
  80. 27 2.13 The Data Science Process Applied—Cheaper Beds, Better Breakfasts.mp4 14MB
  81. 41 Topics.mp4 13MB
  82. 03 1.1 Welcome to the Course.mp4 11MB