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[FreeCoursesOnline.Me] [Packt] Python, SQL, Tableau Integrating Python, SQL, and Tableau [FCO]
magnet:?xt=urn:btih:6f6d7c39c32ae97ccdb01b2afa3df98d3ba6ac1a&dn=[FreeCoursesOnline.Me] [Packt] Python, SQL, Tableau Integrating Python, SQL, and Tableau [FCO]
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6f6d7c39c32ae97ccdb01b2afa3df98d3ba6ac1a
infohash:
63
文件数量
1.67 GB
文件大小
2019-10-19 15:41
创建日期
2024-6-29 17:31
最后访问
相关分词
FreeCoursesOnline
Me
Packt
Python
SQL
Tableau
Integrating
Python
SQL
and
Tableau
FCO
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
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