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Название [ TutGator.com ] Skillshare - Qlik AutoML No-Code Machine Learning and Predictions
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01 Welcome.en-US.srt 7.15Кб
01 Welcome.en-US.vtt 6.84Кб
01 Welcome.mp4 29.56Мб
02 Introduction to Machine Learning.en-US.srt 9.95Кб
02 Introduction to Machine Learning.en-US.vtt 9.46Кб
02 Introduction to Machine Learning.mp4 40.92Мб
03 What is Auto ML.en-US.srt 1.94Кб
03 What is Auto ML.en-US.vtt 1.90Кб
03 What is Auto ML.mp4 10.58Мб
04 Key Benefits of AutoML.en-US.srt 3.74Кб
04 Key Benefits of AutoML.en-US.vtt 3.61Кб
04 Key Benefits of AutoML.mp4 14.57Мб
05 How Auto ML Works.en-US.srt 5.08Кб
05 How Auto ML Works.en-US.vtt 4.88Кб
05 How Auto ML Works.mp4 21.73Мб
06 Introduction to Qlik AutoML.en-US.srt 2.42Кб
06 Introduction to Qlik AutoML.en-US.vtt 2.36Кб
06 Introduction to Qlik AutoML.mp4 28.77Мб
07 Features of Qlik AutoML.en-US.srt 5.67Кб
07 Features of Qlik AutoML.en-US.vtt 5.45Кб
07 Features of Qlik AutoML.mp4 63.05Мб
08 Use Cases of Qlik AutoML.en-US.srt 2.39Кб
08 Use Cases of Qlik AutoML.en-US.vtt 2.33Кб
08 Use Cases of Qlik AutoML.mp4 27.55Мб
09 Algorithms used by Qlik AutoML.en-US.srt 2.25Кб
09 Algorithms used by Qlik AutoML.en-US.vtt 2.19Кб
09 Algorithms used by Qlik AutoML.mp4 26.27Мб
10 F-Score.en-US.srt 3.38Кб
10 F-Score.en-US.vtt 3.27Кб
10 F-Score.mp4 10.72Мб
11 Permutation Importance.en-US.srt 1.88Кб
11 Permutation Importance.en-US.vtt 1.85Кб
11 Permutation Importance.mp4 6.29Мб
12 SHAP Importance.en-US.srt 4.55Кб
12 SHAP Importance.en-US.vtt 4.38Кб
12 SHAP Importance.mp4 15.20Мб
13 Model Fitting.en-US.srt 3.12Кб
13 Model Fitting.en-US.vtt 3.02Кб
13 Model Fitting.mp4 11.46Мб
14 Correlation Matrix.en-US.srt 2.10Кб
14 Correlation Matrix.en-US.vtt 2.05Кб
14 Correlation Matrix.mp4 6.94Мб
15 ROC Curve.en-US.srt 2.80Кб
15 ROC Curve.en-US.vtt 2.71Кб
15 ROC Curve.mp4 9.25Мб
16 Confusion Matrix.en-US.srt 3.54Кб
16 Confusion Matrix.en-US.vtt 3.42Кб
16 Confusion Matrix.mp4 12.12Мб
17 Hyper Parameters.en-US.srt 3.14Кб
17 Hyper Parameters.en-US.vtt 3.04Кб
17 Hyper Parameters.mp4 10.15Мб
18 Cross Validation & Automatic Holdout.en-US.srt 3.30Кб
18 Cross Validation & Automatic Holdout.en-US.vtt 3.20Кб
18 Cross Validation & Automatic Holdout.mp4 12.86Мб
19 Step by Step Process to Signup for Qlik AutoML Free Trail.en-US.srt 3.14Кб
19 Step by Step Process to Signup for Qlik AutoML Free Trail.en-US.vtt 3.04Кб
19 Step by Step Process to Signup for Qlik AutoML Free Trail.mp4 16.77Мб
20 Starting with Qlik AutoML.en-US.srt 3.43Кб
20 Starting with Qlik AutoML.en-US.vtt 3.32Кб
20 Starting with Qlik AutoML.mp4 10.40Мб
21 Adding Data to Qlik AutoML.en-US.srt 8.35Кб
21 Adding Data to Qlik AutoML.en-US.vtt 7.97Кб
21 Adding Data to Qlik AutoML.mp4 26.99Мб
22 Creating Project & Managing Data Pipeline.en-US.srt 19.45Кб
22 Creating Project & Managing Data Pipeline.en-US.vtt 18.37Кб
22 Creating Project & Managing Data Pipeline.mp4 75.46Мб
23 Exploring Training Data Model Output.en-US.srt 9.38Кб
23 Exploring Training Data Model Output.en-US.vtt 8.93Кб
23 Exploring Training Data Model Output.mp4 36.06Мб
24 Understanding Qlik AutoML Cards in detail.en-US.srt 14.86Кб
24 Understanding Qlik AutoML Cards in detail.en-US.vtt 14.07Кб
24 Understanding Qlik AutoML Cards in detail.mp4 66.91Мб
25 Using the Model to generate Predictions on Test Data.en-US.srt 6.26Кб
25 Using the Model to generate Predictions on Test Data.en-US.vtt 6.00Кб
25 Using the Model to generate Predictions on Test Data.mp4 26.66Мб
26 Comparing Predicted Values with Actual Values to check Accuracy.en-US.srt 8.36Кб
26 Comparing Predicted Values with Actual Values to check Accuracy.en-US.vtt 7.97Кб
26 Comparing Predicted Values with Actual Values to check Accuracy.mp4 66.02Мб
27 Using Scenario Editor to perform What If Analysis on Predictions.en-US.srt 9.58Кб
27 Using Scenario Editor to perform What If Analysis on Predictions.en-US.vtt 9.12Кб
27 Using Scenario Editor to perform What If Analysis on Predictions.mp4 32.73Мб
28 Creating Multiple Analysis in Project by Refining Train Data.en-US.srt 7.64Кб
28 Creating Multiple Analysis in Project by Refining Train Data.en-US.vtt 7.31Кб
28 Creating Multiple Analysis in Project by Refining Train Data.mp4 40.67Мб
29 Automated Prediction download.en-US.srt 7.62Кб
29 Automated Prediction download.en-US.vtt 7.29Кб
29 Automated Prediction download.mp4 20.58Мб
30 Deploying a Project.en-US.srt 2.79Кб
30 Deploying a Project.en-US.vtt 2.71Кб
30 Deploying a Project.mp4 9.15Мб
31 Collaborate by inviting others.en-US.srt 2.94Кб
31 Collaborate by inviting others.en-US.vtt 2.85Кб
31 Collaborate by inviting others.mp4 9.40Мб
32 Getting Help throughout the Project.en-US.srt 3.79Кб
32 Getting Help throughout the Project.en-US.vtt 3.66Кб
32 Getting Help throughout the Project.mp4 28.47Мб
33 Project 2 - Stock Value Prediction using Qlik AutoML.en-US.srt 13.00Кб
33 Project 2 - Stock Value Prediction using Qlik AutoML.en-US.vtt 12.32Кб
33 Project 2 - Stock Value Prediction using Qlik AutoML.mp4 62.71Мб
34 Project 3- Customer Churn Prediction.en-US.srt 9.01Кб
34 Project 3- Customer Churn Prediction.en-US.vtt 8.59Кб
34 Project 3- Customer Churn Prediction.mp4 39.97Мб
35 Project 4 - Weather Forecast using Qlik AutoML.en-US.srt 5.37Кб
35 Project 4 - Weather Forecast using Qlik AutoML.en-US.vtt 5.16Кб
35 Project 4 - Weather Forecast using Qlik AutoML.mp4 23.79Мб
36 Project 5 - Multiclass Analysis on BBC News Dataset.en-US.srt 8.55Кб
36 Project 5 - Multiclass Analysis on BBC News Dataset.en-US.vtt 8.15Кб
36 Project 5 - Multiclass Analysis on BBC News Dataset.mp4 36.27Мб
37 How to Improve Model Score.en-US.srt 5.14Кб
37 How to Improve Model Score.en-US.vtt 4.94Кб
37 How to Improve Model Score.mp4 57.32Мб
38 Resources to get Datasets to practice Machine Learning.en-US.srt 5.78Кб
38 Resources to get Datasets to practice Machine Learning.en-US.vtt 5.54Кб
38 Resources to get Datasets to practice Machine Learning.mp4 38.96Мб
39 Congratulations.en-US.srt 2.86Кб
39 Congratulations.en-US.vtt 2.78Кб
39 Congratulations.mp4 22.58Мб
Bonus Resources.txt 386б
Get Bonus Downloads Here.url 178б
Wine Quality - Red - Test.csv.txt 20.76Кб
Wine Quality - Red - Train.csv.txt 57.98Кб
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