BT种子基本信息
- 种子哈希：6f6d7c39c32ae97ccdb01b2afa3df98d3ba6ac1a
- 文档大小：1.8 GB
- 文档个数：70个文档
- 下载次数：4426次
- 下载速度：极快
- 收录时间：2020-01-31
- 最近下载：2025-01-05
- DMCA/屏蔽：DMCA/屏蔽
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文档列表
09.Analyzing the Obtained data in Tableau/0903.Analysis in Tableau Transportation Expense vs Probability.mp4 70.2 MB- 02.What is software integration/0202.Properties and Definitions Data Connectivity, APIs, and Endpoints.mp4 58.9 MB
- 02.What is software integration/0203.Further Details on APIs.mp4 58.5 MB
- 07.Installing MySQL and Getting Acquainted with the Interface/0701.Installing MySQL.mp4 52.1 MB
- 06.Machine Learnings/0614.Creating a Module for Later Use of the Model.mp4 52.0 MB
- 05.Preprocessing/0507.Splitting a Column into Multiple Dummies.mp4 49.0 MB
- 06.Machine Learnings/0608.Interpreting the Logistic Regression Coefficients.mp4 48.7 MB
- 08.Connecting Python and SQL/0808.Transferring Data from Jupyter to Workbench - Part I.mp4 47.6 MB
- 06.Machine Learnings/0612.Testing the Machine Learning Model.mp4 43.5 MB
- 06.Machine Learnings/0605.Train-test Split of the Data.mp4 41.9 MB
- 01.Introduction/0101.What Does the Course Cover.mp4 41.4 MB
- 05.Preprocessing/0502.Data at a Glance.mp4 41.3 MB
- 05.Preprocessing/0509.Grouping - Transforming Dummy Variables into Categorical Variables.mp4 40.4 MB
- 06.Machine Learnings/0611.Simplifying the Model (Backward Elimination).mp4 39.7 MB
- 03.Setting up the working environment/0302.Why Python and why Jupyter.mp4 37.0 MB
- 06.Machine Learnings/0602.Creating the Targets for the Logistic Regression.mp4 36.1 MB
- 05.Preprocessing/0505.Removing Irrelevant Data.mp4 36.0 MB
- 02.What is software integration/0205.Definitions and Applications.mp4 35.5 MB
- 06.Machine Learnings/0609.Omitting the dummy variables from the Standardization.mp4 35.5 MB
- 08.Connecting Python and SQL/0803.Creating a Database in MySQL.mp4 35.1 MB
- 06.Machine Learnings/0607.Extracting the Intercept and Coefficients from a Logistic Regression.mp4 35.0 MB
- 06.Machine Learnings/0606.Training the Model and Assessing its Accuracy.mp4 34.2 MB
- 08.Connecting Python and SQL/0809.Transferring Data from Jupyter to Workbench - Part II.mp4 33.7 MB
- 06.Machine Learnings/0613.How to Save the Machine Learning Model and Prepare it for Future Deployment.mp4 31.9 MB
- 03.Setting up the working environment/0303.Installing Anaconda.mp4 31.8 MB
- 02.What is software integration/0201.Properties and Definitions Data, Servers, Clients, Requests and Responses.mp4 31.7 MB
- 09.Analyzing the Obtained data in Tableau/0902.Analysis in Tableau Reasons vs Probability.mp4 31.6 MB
- 02.What is software integration/0204.Text Files as Means of Communication.mp4 30.9 MB
- 08.Connecting Python and SQL/0802.Implementing the 'absenteeism_module' - Part II.mp4 29.7 MB
- 06.Machine Learnings/0610.Interpreting the Important Predictors.mp4 29.5 MB
- 08.Connecting Python and SQL/0806.Creating the 'predicted_outputs' table in MySQL.mp4 28.7 MB
- 05.Preprocessing/0513.Exploring the Initial Date Column.mp4 27.9 MB
- 09.Analyzing the Obtained data in Tableau/0901.Analysis in Tableau Age vs Probability.mp4 27.7 MB
- 04.What's next in the course/0401.Up Ahead.mp4 27.1 MB
- 04.What's next in the course/0403.Real-Life Example The Dataset.mp4 27.1 MB
- 04.What's next in the course/0402.Real-Life Example Absenteeism at Work.mp4 26.8 MB
- 06.Machine Learnings/0601.Exploring the Problem from a Machine Learning Point of View.mp4 26.7 MB
- 05.Preprocessing/0514.Using the Date Column to Extract the Appropriate Month Value.mp4 25.3 MB
- 08.Connecting Python and SQL/0810.Transferring Data from Jupyter to Workbench - Part III.mp4 23.5 MB
- 05.Preprocessing/0518.A Final Note on Preprocessing.mp4 23.1 MB
- 05.Preprocessing/0506.Examining the Reasons for Absence.mp4 21.2 MB
- 05.Preprocessing/0503.A Note on Our Usage of Terms with Multiple Meanings.mp4 21.0 MB
- 05.Preprocessing/0517.Further Analysis of the DaraFrame Education, Children, Pets.mp4 19.7 MB
- 05.Preprocessing/0510.Concatenating Columns in Python.mp4 19.3 MB
- 07.Installing MySQL and Getting Acquainted with the Interface/0703.Introduction to the MySQL Interface.mp4 18.7 MB
- 06.Machine Learnings/0604.A Bit of Statistical Preprocessing.mp4 16.4 MB
- 08.Connecting Python and SQL/0801.Implementing the 'absenteeism_module' - Part I.mp4 16.3 MB
- 05.Preprocessing/0515.Introducing Day of the Week.mp4 15.8 MB
- 03.Setting up the working environment/0305.The Jupyter Dashboard - Part 2.mp4 15.1 MB
- 05.Preprocessing/0516.Further Analysis of the DataFrame Next 5 Columns.mp4 14.8 MB
- 05.Preprocessing/0501.Data Sets in Python.mp4 13.7 MB
- 05.Preprocessing/0512.Implementing Checkpoints in Coding.mp4 13.6 MB
- 08.Connecting Python and SQL/0807.Running an SQL SELECT Statement from Python.mp4 13.1 MB
- 06.Machine Learnings/0603.Selecting the Inputs.mp4 12.9 MB
Exercise Files/exercise_files.zip 12.6 MB- 08.Connecting Python and SQL/0804.Importing and Installing 'pymysql'.mp4 11.7 MB
- 05.Preprocessing/0504.Picking the Appropriate Approach for the Task at Hand.mp4 11.5 MB
- 08.Connecting Python and SQL/0805.Creating a Connection and Cursor.mp4 10.9 MB
- 07.Installing MySQL and Getting Acquainted with the Interface/0702.Setting Up a Connection.mp4 10.0 MB
- 03.Setting up the working environment/0306.Installing sklearn.mp4 8.3 MB
- 05.Preprocessing/0511.Changing Column Order in Pandas DataFrame.mp4 7.3 MB
- 03.Setting up the working environment/0304.The Jupyter Dashboard - Part 1.mp4 7.1 MB
- 05.Preprocessing/0508.Dummy Variables and Their Statistical Importance.mp4 6.0 MB
- 03.Setting up the working environment/0301.Setting Up the Environment - An Introduction (Do Not Skip, Please)!.mp4 5.2 MB
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