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[] [Packt] Python, SQL, Tableau Integrating Python, SQL, and Tableau [FCO]

  • 收录时间:2020-02-02 04:14:15
  • 文件大小:2GB
  • 下载次数:78
  • 最近下载:2021-01-10 17:10:40
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文件列表

  1. 09.Analyzing the Obtained data in Tableau/0903.Analysis in Tableau Transportation Expense vs Probability.mp4 67MB
  2. 02.What is software integration/0202.Properties and Definitions Data Connectivity, APIs, and Endpoints.mp4 56MB
  3. 02.What is software integration/0203.Further Details on APIs.mp4 56MB
  4. 07.Installing MySQL and Getting Acquainted with the Interface/0701.Installing MySQL.mp4 50MB
  5. 06.Machine Learnings/0614.Creating a Module for Later Use of the Model.mp4 50MB
  6. 05.Preprocessing/0507.Splitting a Column into Multiple Dummies.mp4 47MB
  7. 06.Machine Learnings/0608.Interpreting the Logistic Regression Coefficients.mp4 46MB
  8. 08.Connecting Python and SQL/0808.Transferring Data from Jupyter to Workbench - Part I.mp4 45MB
  9. 06.Machine Learnings/0612.Testing the Machine Learning Model.mp4 41MB
  10. 06.Machine Learnings/0605.Train-test Split of the Data.mp4 40MB
  11. 01.Introduction/0101.What Does the Course Cover.mp4 39MB
  12. 05.Preprocessing/0502.Data at a Glance.mp4 39MB
  13. 05.Preprocessing/0509.Grouping - Transforming Dummy Variables into Categorical Variables.mp4 38MB
  14. 06.Machine Learnings/0611.Simplifying the Model (Backward Elimination).mp4 38MB
  15. 03.Setting up the working environment/0302.Why Python and why Jupyter.mp4 35MB
  16. 06.Machine Learnings/0602.Creating the Targets for the Logistic Regression.mp4 34MB
  17. 05.Preprocessing/0505.Removing Irrelevant Data.mp4 34MB
  18. 02.What is software integration/0205.Definitions and Applications.mp4 34MB
  19. 06.Machine Learnings/0609.Omitting the dummy variables from the Standardization.mp4 34MB
  20. 08.Connecting Python and SQL/0803.Creating a Database in MySQL.mp4 33MB
  21. 06.Machine Learnings/0607.Extracting the Intercept and Coefficients from a Logistic Regression.mp4 33MB
  22. 06.Machine Learnings/0606.Training the Model and Assessing its Accuracy.mp4 33MB
  23. 08.Connecting Python and SQL/0809.Transferring Data from Jupyter to Workbench - Part II.mp4 32MB
  24. 06.Machine Learnings/0613.How to Save the Machine Learning Model and Prepare it for Future Deployment.mp4 30MB
  25. 03.Setting up the working environment/0303.Installing Anaconda.mp4 30MB
  26. 02.What is software integration/0201.Properties and Definitions Data, Servers, Clients, Requests and Responses.mp4 30MB
  27. 09.Analyzing the Obtained data in Tableau/0902.Analysis in Tableau Reasons vs Probability.mp4 30MB
  28. 02.What is software integration/0204.Text Files as Means of Communication.mp4 29MB
  29. 08.Connecting Python and SQL/0802.Implementing the 'absenteeism_module' - Part II.mp4 28MB
  30. 06.Machine Learnings/0610.Interpreting the Important Predictors.mp4 28MB
  31. 08.Connecting Python and SQL/0806.Creating the 'predicted_outputs' table in MySQL.mp4 27MB
  32. 05.Preprocessing/0513.Exploring the Initial Date Column.mp4 27MB
  33. 09.Analyzing the Obtained data in Tableau/0901.Analysis in Tableau Age vs Probability.mp4 26MB
  34. 04.What's next in the course/0401.Up Ahead.mp4 26MB
  35. 04.What's next in the course/0403.Real-Life Example The Dataset.mp4 26MB
  36. 04.What's next in the course/0402.Real-Life Example Absenteeism at Work.mp4 26MB
  37. 06.Machine Learnings/0601.Exploring the Problem from a Machine Learning Point of View.mp4 26MB
  38. 05.Preprocessing/0514.Using the Date Column to Extract the Appropriate Month Value.mp4 24MB
  39. 08.Connecting Python and SQL/0810.Transferring Data from Jupyter to Workbench - Part III.mp4 22MB
  40. 05.Preprocessing/0518.A Final Note on Preprocessing.mp4 22MB
  41. 05.Preprocessing/0506.Examining the Reasons for Absence.mp4 20MB
  42. 05.Preprocessing/0503.A Note on Our Usage of Terms with Multiple Meanings.mp4 20MB
  43. 05.Preprocessing/0517.Further Analysis of the DaraFrame Education, Children, Pets.mp4 19MB
  44. 05.Preprocessing/0510.Concatenating Columns in Python.mp4 18MB
  45. 07.Installing MySQL and Getting Acquainted with the Interface/0703.Introduction to the MySQL Interface.mp4 18MB
  46. 06.Machine Learnings/0604.A Bit of Statistical Preprocessing.mp4 16MB
  47. 08.Connecting Python and SQL/0801.Implementing the 'absenteeism_module' - Part I.mp4 16MB
  48. 05.Preprocessing/0515.Introducing Day of the Week.mp4 15MB
  49. 03.Setting up the working environment/0305.The Jupyter Dashboard - Part 2.mp4 14MB
  50. 05.Preprocessing/0516.Further Analysis of the DataFrame Next 5 Columns.mp4 14MB
  51. 05.Preprocessing/0501.Data Sets in Python.mp4 13MB
  52. 05.Preprocessing/0512.Implementing Checkpoints in Coding.mp4 13MB
  53. 08.Connecting Python and SQL/0807.Running an SQL SELECT Statement from Python.mp4 13MB
  54. 06.Machine Learnings/0603.Selecting the Inputs.mp4 12MB
  55. Exercise Files/exercise_files.zip 12MB
  56. 08.Connecting Python and SQL/0804.Importing and Installing 'pymysql'.mp4 11MB
  57. 05.Preprocessing/0504.Picking the Appropriate Approach for the Task at Hand.mp4 11MB
  58. 08.Connecting Python and SQL/0805.Creating a Connection and Cursor.mp4 10MB
  59. 07.Installing MySQL and Getting Acquainted with the Interface/0702.Setting Up a Connection.mp4 10MB
  60. 03.Setting up the working environment/0306.Installing sklearn.mp4 8MB
  61. 05.Preprocessing/0511.Changing Column Order in Pandas DataFrame.mp4 7MB
  62. 03.Setting up the working environment/0304.The Jupyter Dashboard - Part 1.mp4 7MB
  63. 05.Preprocessing/0508.Dummy Variables and Their Statistical Importance.mp4 6MB
  64. 03.Setting up the working environment/0301.Setting Up the Environment - An Introduction (Do Not Skip, Please)!.mp4 5MB
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