Data Sciense and ML (SQL - Python - Tableau) for integration
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4:16:20
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1 -Introduction.mp4
04:43
2 -Data Connectivity, APIs, and Endpoints.mp4
07:05
3 -API.mp4
08:05
4 -4. Exchanging Information using Text Files.mp4
04:20
5 -Software Integration.mp4
05:25
1 -What's next in the course.mp4
04:08
2 -Defining the Task - Absenteeism at Work.mp4
02:48
3 -3. The Data Set.mp4
03:18
1 -Importing the Data Set in Python.mp4
03:23
2 -Eyeballing the Data.mp4
05:53
3 -Introduction to Terms with Multiple Meanings.mp4
03:27
4 -An Analytical Approach to Solving the Task.mp4
02:17
5 -Dropping the 'ID' Column.mp4
06:27
6 -Analysis of the 'Reason for Absence' Column.mp4
05:04
7 -Converting a Feature into Multiple Dummy Variables.mp4
08:37
8 -Working with Dummy Variables from a Statistical Perspective.mp4
01:28
9 -Grouping the Various Reasons for Absence.mp4
08:35
10 -Concatenating Column Values.mp4
04:35
11 -Reordering Columns.mp4
01:43
12 -Creating Checkpoints in Jupyter.mp4
02:52
13 -Working on the 'Date' Column.mp4
07:48
14 -Extracting the Month Value.mp4
07:00
15 -Creating the 'Day of the Week' Column.mp4
03:36
16 -Analyzing the Next 5 Columns in our DataFrame.mp4
03:17
17 -Modifying 'Education' and discussing 'Children' and 'Pets'.mp4
04:38
18 -Final Remarks on the Data Preprocessing Part of the Exercise.mp4
01:59
1 -Exploring the Problem from a Machine Learning Point of View.mp4
03:20
2 -Creating the Targets for the Regression.mp4
06:32
3 -Selecting the Inputs for the Regression.mp4
02:41
4 -Standardizing the Dataset for Better Results.mp4
03:26
5 -Train-Test Split.mp4
06:12
6 -Training and evaluating the model.mp4
05:39
7 -Extracting the Intercept and Coefficients.mp4
05:16
8 -Interpreting the Coefficients.mp4
06:14
9 -Creating a Custom Scaler to Standardize Only Numerical Features.mp4
04:12
10 -Interpreting the (Important) Coefficients.mp4
05:10
11 -Simplifying the Model (Backward Elimination).mp4
04:02
12 -Testing the Logistic Regression Model.mp4
04:43
13 -Saving the Logistic Regression Model.mp4
04:06
14 -Creating a module for later use of the model.mp4
04:04
1 -Loading the 'absenteeism_module'.mp4
03:50
2 -Working with the 'absenteeism_module'.mp4
06:23
3 -Creating a Database Structure in MySQL.mp4
06:12
4 -Installing and Importing 'pymysql'.mp4
02:44
5 -Setting up a Connection and Creating a Cursor.mp4
02:54
6 -Creating the 'predicted_outputs' table in MySQL.mp4
04:52
7 -Executing an SQL Query from Python.mp4
03:04
8 -Moving Data from Python to SQL - Part I.mp4
06:15
9 -Moving Data from Python to SQL - Part II.mp4
06:35
10 -Moving Data from Python to SQL - Part III.mp4
02:45
1 -Tableau Analysis - Age vs Probability.mp4
08:49
2 -Tableau Analysis - Reasons vs Probability.mp4
07:49
3 -Tableau Analysis - Transportation Expense vs Probability.mp4
06:00
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Udemy
View courses UdemyStudents take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.
- language english
- Training sessions 53
- duration 4:16:20
- Release Date 2025/01/15
