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[Tutorialsplanet.NET] Udemy - Python + SQL + Tableau Integrating Python, SQL, and Tableau
magnet:?xt=urn:btih:96149b89ae33831bbd12a1e7257942890722450c&dn=[Tutorialsplanet.NET] Udemy - Python + SQL + Tableau Integrating Python, SQL, and Tableau
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文件列表详情
96149b89ae33831bbd12a1e7257942890722450c
infohash:
63
文件数量
2.66 GB
文件大小
2020-11-14 16:42
创建日期
2024-6-27 15:28
最后访问
相关分词
Tutorialsplanet
NET
Udemy
-
Python
SQL
Tableau
Integrating
Python
SQL
and
Tableau
1. Introduction/1. What Does the Course Cover.mp4 56.19 MB
2. What is software integration/1. Properties and Definitions Data, Servers, Clients, Requests and Responses.mp4 69.16 MB
2. What is software integration/3. Properties and Definitions Data Connectivity, APIs, and Endpoints.mp4 104.22 MB
2. What is software integration/5. Further Details on APIs.mp4 115.66 MB
2. What is software integration/7. Text Files as Means of Communication.mp4 60.42 MB
2. What is software integration/9. Definitions and Applications.mp4 63.7 MB
3. Setting up the working environment/1. Setting Up the Environment - An Introduction (Do Not Skip, Please)!.mp4 5.34 MB
3. Setting up the working environment/2. Why Python and why Jupyter.mp4 41.07 MB
3. Setting up the working environment/4. Installing Anaconda.mp4 51.01 MB
3. Setting up the working environment/5. The Jupyter Dashboard - Part 1.mp4 13.47 MB
3. Setting up the working environment/6. The Jupyter Dashboard - Part 2.mp4 28.65 MB
3. Setting up the working environment/9. Installing sklearn.mp4 7.77 MB
4. What's next in the course/1. Up Ahead.mp4 52.32 MB
4. What's next in the course/2. Real-Life Example Absenteeism at Work.mp4 39.17 MB
4. What's next in the course/3. Real-Life Example The Dataset.mp4 40.91 MB
5. Preprocessing/10. Examining the Reasons for Absence.mp4 40.6 MB
5. Preprocessing/11. Splitting a Column into Multiple Dummies.mp4 81.03 MB
5. Preprocessing/15. Dummy Variables and Their Statistical Importance.mp4 13.8 MB
5. Preprocessing/16. Grouping - Transforming Dummy Variables into Categorical Variables.mp4 74.6 MB
5. Preprocessing/17. Concatenating Columns in Python.mp4 38.76 MB
5. Preprocessing/2. Data Sets in Python.mp4 23.15 MB
5. Preprocessing/20. Changing Column Order in Pandas DataFrame.mp4 14.05 MB
5. Preprocessing/23. Implementing Checkpoints in Coding.mp4 25.7 MB
5. Preprocessing/26. Exploring the Initial Date Column.mp4 57.3 MB
5. Preprocessing/27. Using the Date Column to Extract the Appropriate Month Value.mp4 47.76 MB
5. Preprocessing/28. Introducing Day of the Week.mp4 28 MB
5. Preprocessing/3. Data at a Glance.mp4 61.83 MB
5. Preprocessing/30. Further Analysis of the DataFrame Next 5 Columns.mp4 29.53 MB
5. Preprocessing/31. Further Analysis of the DaraFrame Education, Children, Pets.mp4 39.54 MB
5. Preprocessing/32. A Final Note on Preprocessing.mp4 21.62 MB
5. Preprocessing/4. A Note on Our Usage of Terms with Multiple Meanings.mp4 27.9 MB
5. Preprocessing/6. Picking the Appropriate Approach for the Task at Hand.mp4 20.22 MB
5. Preprocessing/7. Removing Irrelevant Data.mp4 61.73 MB
6. Machine Learning/1. Exploring the Problem from a Machine Learning Point of View.mp4 27.51 MB
6. Machine Learning/10. Interpreting the Important Predictors.mp4 40.45 MB
6. Machine Learning/11. Simplifying the Model (Backward Elimination).mp4 39.59 MB
6. Machine Learning/12. Testing the Machine Learning Model.mp4 49.13 MB
6. Machine Learning/13. How to Save the Machine Learning Model and Prepare it for Future Deployment.mp4 37.45 MB
6. Machine Learning/16. Creating a Module for Later Use of the Model.mp4 44.58 MB
6. Machine Learning/2. Creating the Targets for the Logistic Regression.mp4 45.83 MB
6. Machine Learning/3. Selecting the Inputs.mp4 16.76 MB
6. Machine Learning/4. A Bit of Statistical Preprocessing.mp4 20.6 MB
6. Machine Learning/5. Train-test Split of the Data.mp4 52.7 MB
6. Machine Learning/6. Training the Model and Assessing its Accuracy.mp4 41.64 MB
6. Machine Learning/7. Extracting the Intercept and Coefficients from a Logistic Regression.mp4 38.82 MB
6. Machine Learning/8. Interpreting the Logistic Regression Coefficients.mp4 52.36 MB
6. Machine Learning/9. Omitting the dummy variables from the Standardization.mp4 41.19 MB
7. Installing MySQL and Getting Acquainted with the Interface/1. Installing MySQL.mp4 80.95 MB
7. Installing MySQL and Getting Acquainted with the Interface/3. Setting Up a Connection.mp4 17.57 MB
7. Installing MySQL and Getting Acquainted with the Interface/4. Introduction to the MySQL Interface.mp4 37.22 MB
8. Connecting Python and SQL/10. Transferring Data from Jupyter to Workbench - Part I.mp4 76.24 MB
8. Connecting Python and SQL/11. Transferring Data from Jupyter to Workbench - Part II.mp4 58.22 MB
8. Connecting Python and SQL/12. Transferring Data from Jupyter to Workbench - Part III.mp4 32.8 MB
8. Connecting Python and SQL/2. Implementing the 'absenteeism_module' - Part I.mp4 25.45 MB
8. Connecting Python and SQL/3. Implementing the 'absenteeism_module' - Part II.mp4 54.29 MB
8. Connecting Python and SQL/4. Creating a Database in MySQL.mp4 58.95 MB
8. Connecting Python and SQL/5. Importing and Installing 'pymysql'.mp4 19.03 MB
8. Connecting Python and SQL/6. Creating a Connection and Cursor.mp4 20.97 MB
8. Connecting Python and SQL/8. Creating the 'predicted_outputs' table in MySQL.mp4 52.45 MB
8. Connecting Python and SQL/9. Running an SQL SELECT Statement from Python.mp4 25.43 MB
9. Analyzing the Obtained data in Tableau/2. Analysis in Tableau Age vs Probability.mp4 56.48 MB
9. Analyzing the Obtained data in Tableau/4. Analysis in Tableau Reasons vs Probability.mp4 59.32 MB
9. Analyzing the Obtained data in Tableau/6. Analysis in Tableau Transportation Expense vs Probability.mp4 40.63 MB
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