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| !!! Please Support !!! [CoursesGhar.Com].txt |
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298B |
| 1. Exploring the Problem from a Machine Learning Point of View.mp4 |
25.50MB |
| 1. Importing the Data Set in Python.mp4 |
13.03MB |
| 1. Introduction to Data, Servers, Clients, Requests, and Responses.mp4 |
30.27MB |
| 1. Loading the _absenteeism_module_.mp4 |
15.57MB |
| 1. Tableau Analysis - Age vs Probability.mp4 |
26.42MB |
| 1. What_s next in the course.mp4 |
25.84MB |
| 10. Concatenating Column Values.mp4 |
18.38MB |
| 10. Interpreting the (Important) Coefficients.mp4 |
28.11MB |
| 10. Moving Data from Python to SQL - Part III.mp4 |
22.42MB |
| 11. Reordering Columns.mp4 |
6.94MB |
| 11. Simplifying the Model (Backward Elimination).mp4 |
37.87MB |
| 12. Creating Checkpoints in Jupyter.mp4 |
13.01MB |
| 12. Testing the Logistic Regression Model.mp4 |
41.45MB |
| 13. Saving the Logistic Regression Model.mp4 |
30.40MB |
| 13. Working on the _Date_ Column.mp4 |
26.59MB |
| 14. Creating a module for later use of the model.mp4 |
49.61MB |
| 14. Extracting the Month Value.mp4 |
24.11MB |
| 15. Creating the _Day of the Week_ Column.mp4 |
15.08MB |
| 16. Analyzing the Next 5 Columns in our DataFrame.mp4 |
14.11MB |
| 17. Modifying _Education_ and discussing _Children_ and _Pets_.mp4 |
18.79MB |
| 18. Final Remarks on the Data Preprocessing Part of the Exercise.mp4 |
22.05MB |
| 2. Creating the Targets for the Regression.mp4 |
34.39MB |
| 2. Defining the Task - Absenteeism at Work.mp4 |
25.54MB |
| 2. Eyeballing the Data.mp4 |
39.36MB |
| 2. Introduction to Data Connectivity, APIs, and Endpoints.mp4 |
56.20MB |
| 2. Tableau Analysis - Reasons vs Probability.mp4 |
30.18MB |
| 2. Working with the _absenteeism_module_.mp4 |
28.36MB |
| 3. Creating a Database Structure in MySQL.mp4 |
30.34MB |
| 3. Introduction to Terms with Multiple Meanings.mp4 |
20.06MB |
| 3. More on APIs.mp4 |
55.78MB |
| 3. Selecting the Inputs for the Regression.mp4 |
12.26MB |
| 3. Tableau Analysis - Transportation Expense vs Probability.mp4 |
17.35MB |
| 3. The Data Set.mp4 |
25.81MB |
| 4. An Analytical Approach to Solving the Task.mp4 |
10.93MB |
| 4. Exchanging Information using Text Files.mp4 |
29.46MB |
| 4. Installing and Importing _pymysql_.mp4 |
11.17MB |
| 4. Standardizing the Dataset for Better Results.mp4 |
15.62MB |
| 5. Dropping the _ID_ Column.mp4 |
34.34MB |
| 5. Setting up a Connection and Creating a Cursor.mp4 |
10.44MB |
| 5. Software Integration - Python-SQL-Tableau.mp4 |
35.37MB |
| 5. Train-Test Split.mp4 |
39.92MB |
| 6. Analysis of the _Reason for Absence_ Column.mp4 |
20.25MB |
| 6. Creating the _predicted_outputs_ table in MySQL.mp4 |
27.40MB |
| 6. Training and evaluating the model.mp4 |
32.65MB |
| 7. Converting a Feature into Multiple Dummy Variables.mp4 |
46.70MB |
| 7. Executing an SQL Query from Python.mp4 |
12.54MB |
| 7. Extracting the Intercept and Coefficients.mp4 |
33.39MB |
| 8. Interpreting the Coefficients.mp4 |
46.47MB |
| 8. Moving Data from Python to SQL - Part I.mp4 |
45.36MB |
| 8. Working with Dummy Variables from a Statistical Perspective.mp4 |
5.75MB |
| 9. Creating a Custom Scaler to Standardize Only Numerical Features.mp4 |
33.87MB |
| 9. Grouping the Various Reasons for Absence.mp4 |
38.49MB |
| 9. Moving Data from Python to SQL - Part II.mp4 |
32.11MB |
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| CoursesGhar.com.url |
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| Join Our Telegram Group For More Updates !!!.url |
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| Uploaded by [Coursesghar.com].txt |
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| Visit coursesghar.com for more awesome tutorials.url |
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