[FreeCoursesOnline.Me] [Packt] Python, SQL, Tableau Integrating Python, SQL, and Tableau [FCO]


[FreeCoursesOnline.Me] [Packt] Python, SQL, Tableau Integrating Python, SQL, and Tableau [FCO]
Category:
 Other
Date:
08/10/19 at 11:02am GMT+1
Submitter:
Unknown
Seeders:
1
Leechers:
0
File size:
1.7 GB in 65 files

Torrent Status:
  This torrent has been verified.

Infohash:
6f6d7c39c32ae97ccdb01b2afa3df98d3ba6ac1a


File list

  • [FreeCoursesOnline.Me] [Packt] Python, SQL, Tableau Integrating Python, SQL, and Tableau [FCO]
  • icon 0. Websites you may like/How you can help Team-FTU.txt 237 B
    icon 01.Introduction/0101.What Does the Course Cover.mp4 39.5 MB
    icon 02.What is software integration/0201.Properties and Definitions Data, Servers, Clients, Requests and Responses.mp4 30.3 MB
    icon 02.What is software integration/0202.Properties and Definitions Data Connectivity, APIs, and Endpoints.mp4 56.2 MB
    icon 02.What is software integration/0203.Further Details on APIs.mp4 55.8 MB
    icon 02.What is software integration/0204.Text Files as Means of Communication.mp4 29.5 MB
    icon 02.What is software integration/0205.Definitions and Applications.mp4 33.9 MB
    icon 03.Setting up the working environment/0301.Setting Up the Environment - An Introduction (Do Not Skip, Please)!.mp4 4.9 MB
    icon 03.Setting up the working environment/0302.Why Python and why Jupyter.mp4 35.3 MB
    icon 03.Setting up the working environment/0303.Installing Anaconda.mp4 30.4 MB
    icon 03.Setting up the working environment/0304.The Jupyter Dashboard - Part 1.mp4 6.8 MB
    icon 03.Setting up the working environment/0305.The Jupyter Dashboard - Part 2.mp4 14.4 MB
    icon 03.Setting up the working environment/0306.Installing sklearn.mp4 7.9 MB
    icon 04.What's next in the course/0401.Up Ahead.mp4 25.8 MB
    icon 04.What's next in the course/0402.Real-Life Example Absenteeism at Work.mp4 25.5 MB
    icon 04.What's next in the course/0403.Real-Life Example The Dataset.mp4 25.8 MB
    icon 05.Preprocessing/0501.Data Sets in Python.mp4 13 MB
    icon 05.Preprocessing/0502.Data at a Glance.mp4 39.4 MB
    icon 05.Preprocessing/0503.A Note on Our Usage of Terms with Multiple Meanings.mp4 20.1 MB
    icon 05.Preprocessing/0504.Picking the Appropriate Approach for the Task at Hand.mp4 10.9 MB
    icon 05.Preprocessing/0505.Removing Irrelevant Data.mp4 34.3 MB
    icon 05.Preprocessing/0506.Examining the Reasons for Absence.mp4 20.3 MB
    icon 05.Preprocessing/0507.Splitting a Column into Multiple Dummies.mp4 46.7 MB
    icon 05.Preprocessing/0508.Dummy Variables and Their Statistical Importance.mp4 5.8 MB
    icon 05.Preprocessing/0509.Grouping - Transforming Dummy Variables into Categorical Variables.mp4 38.5 MB
    icon 05.Preprocessing/0510.Concatenating Columns in Python.mp4 18.4 MB
    icon 05.Preprocessing/0511.Changing Column Order in Pandas DataFrame.mp4 6.9 MB
    icon 05.Preprocessing/0512.Implementing Checkpoints in Coding.mp4 13 MB
    icon 05.Preprocessing/0513.Exploring the Initial Date Column.mp4 26.6 MB
    icon 05.Preprocessing/0514.Using the Date Column to Extract the Appropriate Month Value.mp4 24.1 MB
    icon 05.Preprocessing/0515.Introducing Day of the Week.mp4 15.1 MB
    icon 05.Preprocessing/0516.Further Analysis of the DataFrame Next 5 Columns.mp4 14.1 MB
    icon 05.Preprocessing/0517.Further Analysis of the DaraFrame Education, Children, Pets.mp4 18.8 MB
    icon 05.Preprocessing/0518.A Final Note on Preprocessing.mp4 22 MB
    icon 06.Machine Learnings/0601.Exploring the Problem from a Machine Learning Point of View.mp4 25.5 MB
    icon 06.Machine Learnings/0602.Creating the Targets for the Logistic Regression.mp4 34.4 MB
    icon 06.Machine Learnings/0603.Selecting the Inputs.mp4 12.3 MB
    icon 06.Machine Learnings/0604.A Bit of Statistical Preprocessing.mp4 15.6 MB
    icon 06.Machine Learnings/0605.Train-test Split of the Data.mp4 39.9 MB
    icon 06.Machine Learnings/0606.Training the Model and Assessing its Accuracy.mp4 32.7 MB
    icon 06.Machine Learnings/0607.Extracting the Intercept and Coefficients from a Logistic Regression.mp4 33.4 MB
    icon 06.Machine Learnings/0608.Interpreting the Logistic Regression Coefficients.mp4 46.5 MB
    icon 06.Machine Learnings/0609.Omitting the dummy variables from the Standardization.mp4 33.9 MB
    icon 06.Machine Learnings/0610.Interpreting the Important Predictors.mp4 28.1 MB
    icon 06.Machine Learnings/0611.Simplifying the Model (Backward Elimination).mp4 37.9 MB
    icon 06.Machine Learnings/0612.Testing the Machine Learning Model.mp4 41.5 MB
    icon 06.Machine Learnings/0613.How to Save the Machine Learning Model and Prepare it for Future Deployment.mp4 30.4 MB
    icon 06.Machine Learnings/0614.Creating a Module for Later Use of the Model.mp4 49.6 MB
    icon 07.Installing MySQL and Getting Acquainted with the Interface/0701.Installing MySQL.mp4 49.7 MB
    icon 07.Installing MySQL and Getting Acquainted with the Interface/0702.Setting Up a Connection.mp4 9.5 MB
    icon 07.Installing MySQL and Getting Acquainted with the Interface/0703.Introduction to the MySQL Interface.mp4 17.8 MB
    icon 08.Connecting Python and SQL/0801.Implementing the 'absenteeism_module' - Part I.mp4 15.6 MB
    icon 08.Connecting Python and SQL/0802.Implementing the 'absenteeism_module' - Part II.mp4 28.4 MB
    icon 08.Connecting Python and SQL/0803.Creating a Database in MySQL.mp4 33.5 MB
    icon 08.Connecting Python and SQL/0804.Importing and Installing 'pymysql'.mp4 11.2 MB
    icon 08.Connecting Python and SQL/0805.Creating a Connection and Cursor.mp4 10.4 MB
    icon 08.Connecting Python and SQL/0806.Creating the 'predicted_outputs' table in MySQL.mp4 27.4 MB
    icon 08.Connecting Python and SQL/0807.Running an SQL SELECT Statement from Python.mp4 12.5 MB
    icon 08.Connecting Python and SQL/0808.Transferring Data from Jupyter to Workbench - Part I.mp4 45.4 MB
    icon 08.Connecting Python and SQL/0809.Transferring Data from Jupyter to Workbench - Part II.mp4 32.1 MB
    icon 08.Connecting Python and SQL/0810.Transferring Data from Jupyter to Workbench - Part III.mp4 22.4 MB
    icon 09.Analyzing the Obtained data in Tableau/0901.Analysis in Tableau Age vs Probability.mp4 26.4 MB
    icon 09.Analyzing the Obtained data in Tableau/0902.Analysis in Tableau Reasons vs Probability.mp4 30.2 MB
    icon 09.Analyzing the Obtained data in Tableau/0903.Analysis in Tableau Transportation Expense vs Probability.mp4 67 MB
    icon Exercise Files/exercise_files.zip 12 MB

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