[FreeCoursesOnline Me] [Packt] Python, SQL, Tableau Integrating Python, SQL, and Tableau [FCO]
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| 01.Introduction/0101.What Does the Course Cover.mp4 | 39.5 MB |
| 02.What is software integration/0201.Properties and Definitions Data, Servers, Clients, Requests and Responses.mp4 | 30.27 MB |
| 02.What is software integration/0202.Properties and Definitions Data Connectivity, APIs, and Endpoints.mp4 | 56.2 MB |
| 02.What is software integration/0203.Further Details on APIs.mp4 | 55.78 MB |
| 02.What is software integration/0204.Text Files as Means of Communication.mp4 | 29.46 MB |
| 02.What is software integration/0205.Definitions and Applications.mp4 | 33.9 MB |
| 03.Setting up the working environment/0301.Setting Up the Environment - An Introduction (Do Not Skip, Please)!.mp4 | 4.92 MB |
| 03.Setting up the working environment/0302.Why Python and why Jupyter.mp4 | 35.26 MB |
| 03.Setting up the working environment/0303.Installing Anaconda.mp4 | 30.36 MB |
| 03.Setting up the working environment/0304.The Jupyter Dashboard - Part 1.mp4 | 6.77 MB |
| 03.Setting up the working environment/0305.The Jupyter Dashboard - Part 2.mp4 | 14.39 MB |
| 03.Setting up the working environment/0306.Installing sklearn.mp4 | 7.93 MB |
| 04.What's next in the course/0401.Up Ahead.mp4 | 25.84 MB |
| 04.What's next in the course/0402.Real-Life Example Absenteeism at Work.mp4 | 25.54 MB |
| 04.What's next in the course/0403.Real-Life Example The Dataset.mp4 | 25.81 MB |
| 05.Preprocessing/0501.Data Sets in Python.mp4 | 13.03 MB |
| 05.Preprocessing/0502.Data at a Glance.mp4 | 39.36 MB |
| 05.Preprocessing/0503.A Note on Our Usage of Terms with Multiple Meanings.mp4 | 20.06 MB |
| 05.Preprocessing/0504.Picking the Appropriate Approach for the Task at Hand.mp4 | 10.93 MB |
| 05.Preprocessing/0505.Removing Irrelevant Data.mp4 | 34.34 MB |
| 05.Preprocessing/0506.Examining the Reasons for Absence.mp4 | 20.25 MB |
| 05.Preprocessing/0507.Splitting a Column into Multiple Dummies.mp4 | 46.7 MB |
| 05.Preprocessing/0508.Dummy Variables and Their Statistical Importance.mp4 | 5.75 MB |
| 05.Preprocessing/0509.Grouping - Transforming Dummy Variables into Categorical Variables.mp4 | 38.49 MB |
| 05.Preprocessing/0510.Concatenating Columns in Python.mp4 | 18.38 MB |
| 05.Preprocessing/0511.Changing Column Order in Pandas DataFrame.mp4 | 6.94 MB |
| 05.Preprocessing/0512.Implementing Checkpoints in Coding.mp4 | 13.01 MB |
| 05.Preprocessing/0513.Exploring the Initial Date Column.mp4 | 26.59 MB |
| 05.Preprocessing/0514.Using the Date Column to Extract the Appropriate Month Value.mp4 | 24.11 MB |
| 05.Preprocessing/0515.Introducing Day of the Week.mp4 | 15.08 MB |
| 05.Preprocessing/0516.Further Analysis of the DataFrame Next 5 Columns.mp4 | 14.11 MB |
| 05.Preprocessing/0517.Further Analysis of the DaraFrame Education, Children, Pets.mp4 | 18.79 MB |
| 05.Preprocessing/0518.A Final Note on Preprocessing.mp4 | 22.05 MB |
| 06.Machine Learnings/0601.Exploring the Problem from a Machine Learning Point of View.mp4 | 25.5 MB |
| 06.Machine Learnings/0602.Creating the Targets for the Logistic Regression.mp4 | 34.39 MB |
| 06.Machine Learnings/0603.Selecting the Inputs.mp4 | 12.26 MB |
| 06.Machine Learnings/0604.A Bit of Statistical Preprocessing.mp4 | 15.62 MB |
| 06.Machine Learnings/0605.Train-test Split of the Data.mp4 | 39.92 MB |
| 06.Machine Learnings/0606.Training the Model and Assessing its Accuracy.mp4 | 32.65 MB |
| 06.Machine Learnings/0607.Extracting the Intercept and Coefficients from a Logistic Regression.mp4 | 33.39 MB |
| 06.Machine Learnings/0608.Interpreting the Logistic Regression Coefficients.mp4 | 46.47 MB |
| 06.Machine Learnings/0609.Omitting the dummy variables from the Standardization.mp4 | 33.87 MB |
| 06.Machine Learnings/0610.Interpreting the Important Predictors.mp4 | 28.11 MB |
| 06.Machine Learnings/0611.Simplifying the Model (Backward Elimination).mp4 | 37.87 MB |
| 06.Machine Learnings/0612.Testing the Machine Learning Model.mp4 | 41.45 MB |
| 06.Machine Learnings/0613.How to Save the Machine Learning Model and Prepare it for Future Deployment.mp4 | 30.4 MB |
| 06.Machine Learnings/0614.Creating a Module for Later Use of the Model.mp4 | 49.61 MB |
| 07.Installing MySQL and Getting Acquainted with the Interface/0701.Installing MySQL.mp4 | 49.73 MB |
| 07.Installing MySQL and Getting Acquainted with the Interface/0702.Setting Up a Connection.mp4 | 9.54 MB |
| 07.Installing MySQL and Getting Acquainted with the Interface/0703.Introduction to the MySQL Interface.mp4 | 17.82 MB |
| 08.Connecting Python and SQL/0801.Implementing the 'absenteeism_module' - Part I.mp4 | 15.57 MB |
| 08.Connecting Python and SQL/0802.Implementing the 'absenteeism_module' - Part II.mp4 | 28.36 MB |
| 08.Connecting Python and SQL/0803.Creating a Database in MySQL.mp4 | 33.46 MB |
| 08.Connecting Python and SQL/0804.Importing and Installing 'pymysql'.mp4 | 11.17 MB |
| 08.Connecting Python and SQL/0805.Creating a Connection and Cursor.mp4 | 10.44 MB |
| 08.Connecting Python and SQL/0806.Creating the 'predicted_outputs' table in MySQL.mp4 | 27.4 MB |
| 08.Connecting Python and SQL/0807.Running an SQL SELECT Statement from Python.mp4 | 12.54 MB |
| 08.Connecting Python and SQL/0808.Transferring Data from Jupyter to Workbench - Part I.mp4 | 45.36 MB |
| 08.Connecting Python and SQL/0809.Transferring Data from Jupyter to Workbench - Part II.mp4 | 32.11 MB |
| 08.Connecting Python and SQL/0810.Transferring Data from Jupyter to Workbench - Part III.mp4 | 22.42 MB |
| 09.Analyzing the Obtained data in Tableau/0901.Analysis in Tableau Age vs Probability.mp4 | 26.42 MB |
| 09.Analyzing the Obtained data in Tableau/0902.Analysis in Tableau Reasons vs Probability.mp4 | 30.18 MB |
| 09.Analyzing the Obtained data in Tableau/0903.Analysis in Tableau Transportation Expense vs Probability.mp4 | 66.99 MB |
| Exercise Files/exercise_files.zip | 12.01 MB |
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