Skillshare - Qlik AutoML No-Code Machine Learning and Predictions

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Skillshare - Qlik AutoML No-Code Machine Learning and Predictions (Size: 1.1 GB)
  01 Welcome.en-US.srt 7.1 KB
  01 Welcome.en-US.vtt 6.8 KB
  01 Welcome.mp4 29.6 MB
  02 Introduction to Machine Learning.en-US.srt 9.9 KB
  02 Introduction to Machine Learning.en-US.vtt 9.5 KB
  02 Introduction to Machine Learning.mp4 40.9 MB
  03 What is Auto ML.en-US.srt 1.9 KB
  03 What is Auto ML.en-US.vtt 1.9 KB
  03 What is Auto ML.mp4 10.6 MB
  04 Key Benefits of AutoML.en-US.srt 3.7 KB
  04 Key Benefits of AutoML.en-US.vtt 3.6 KB
  04 Key Benefits of AutoML.mp4 14.6 MB
  05 How Auto ML Works.en-US.srt 5.1 KB
  05 How Auto ML Works.en-US.vtt 4.9 KB
  05 How Auto ML Works.mp4 21.7 MB
  06 Introduction to Qlik AutoML.en-US.srt 2.4 KB
  06 Introduction to Qlik AutoML.en-US.vtt 2.4 KB
  06 Introduction to Qlik AutoML.mp4 28.8 MB
  07 Features of Qlik AutoML.en-US.srt 5.7 KB
  07 Features of Qlik AutoML.en-US.vtt 5.4 KB
  07 Features of Qlik AutoML.mp4 63 MB
  08 Use Cases of Qlik AutoML.en-US.srt 2.4 KB
  08 Use Cases of Qlik AutoML.en-US.vtt 2.3 KB
  08 Use Cases of Qlik AutoML.mp4 27.5 MB
  09 Algorithms used by Qlik AutoML.en-US.srt 2.2 KB
  09 Algorithms used by Qlik AutoML.en-US.vtt 2.2 KB
  09 Algorithms used by Qlik AutoML.mp4 26.3 MB
  10 F-Score.en-US.srt 3.4 KB
  10 F-Score.en-US.vtt 3.3 KB
  10 F-Score.mp4 10.7 MB
  11 Permutation Importance.en-US.srt 1.9 KB
  11 Permutation Importance.en-US.vtt 1.8 KB
  11 Permutation Importance.mp4 6.3 MB
  12 SHAP Importance.en-US.srt 4.5 KB
  12 SHAP Importance.en-US.vtt 4.4 KB
  12 SHAP Importance.mp4 15.2 MB
  13 Model Fitting.en-US.srt 3.1 KB
  13 Model Fitting.en-US.vtt 3 KB
  13 Model Fitting.mp4 11.5 MB
  14 Correlation Matrix.en-US.srt 2.1 KB
  14 Correlation Matrix.en-US.vtt 2 KB
  14 Correlation Matrix.mp4 6.9 MB
  15 ROC Curve.en-US.srt 2.8 KB
  15 ROC Curve.en-US.vtt 2.7 KB
  15 ROC Curve.mp4 9.3 MB
  16 Confusion Matrix.en-US.srt 3.5 KB
  16 Confusion Matrix.en-US.vtt 3.4 KB
  16 Confusion Matrix.mp4 12.1 MB
  17 Hyper Parameters.en-US.srt 3.1 KB
  17 Hyper Parameters.en-US.vtt 3 KB
  17 Hyper Parameters.mp4 10.2 MB
  18 Cross Validation & Automatic Holdout.en-US.srt 3.3 KB
  18 Cross Validation & Automatic Holdout.en-US.vtt 3.2 KB
  18 Cross Validation & Automatic Holdout.mp4 12.9 MB
  19 Step by Step Process to Signup for Qlik AutoML Free Trail.en-US.srt 3.1 KB
  19 Step by Step Process to Signup for Qlik AutoML Free Trail.en-US.vtt 3 KB
  19 Step by Step Process to Signup for Qlik AutoML Free Trail.mp4 16.8 MB
  20 Starting with Qlik AutoML.en-US.srt 3.4 KB
  20 Starting with Qlik AutoML.en-US.vtt 3.3 KB
  20 Starting with Qlik AutoML.mp4 10.4 MB
  21 Adding Data to Qlik AutoML.en-US.srt 8.4 KB
  21 Adding Data to Qlik AutoML.en-US.vtt 8 KB
  21 Adding Data to Qlik AutoML.mp4 27 MB
  22 Creating Project & Managing Data Pipeline.en-US.srt 19.4 KB
  22 Creating Project & Managing Data Pipeline.en-US.vtt 18.4 KB
  22 Creating Project & Managing Data Pipeline.mp4 75.5 MB
  23 Exploring Training Data Model Output.en-US.srt 9.4 KB
  23 Exploring Training Data Model Output.en-US.vtt 8.9 KB
  23 Exploring Training Data Model Output.mp4 36.1 MB
  24 Understanding Qlik AutoML Cards in detail.en-US.srt 14.9 KB
  24 Understanding Qlik AutoML Cards in detail.en-US.vtt 14.1 KB
  24 Understanding Qlik AutoML Cards in detail.mp4 66.9 MB
  25 Using the Model to generate Predictions on Test Data.en-US.srt 6.3 KB
  25 Using the Model to generate Predictions on Test Data.en-US.vtt 6 KB
  25 Using the Model to generate Predictions on Test Data.mp4 26.7 MB
  26 Comparing Predicted Values with Actual Values to check Accuracy.en-US.srt 8.4 KB
  26 Comparing Predicted Values with Actual Values to check Accuracy.en-US.vtt 8 KB
  26 Comparing Predicted Values with Actual Values to check Accuracy.mp4 66 MB
  27 Using Scenario Editor to perform What If Analysis on Predictions.en-US.srt 9.6 KB
  27 Using Scenario Editor to perform What If Analysis on Predictions.en-US.vtt 9.1 KB
  27 Using Scenario Editor to perform What If Analysis on Predictions.mp4 32.7 MB
  28 Creating Multiple Analysis in Project by Refining Train Data.en-US.srt 7.6 KB
  28 Creating Multiple Analysis in Project by Refining Train Data.en-US.vtt 7.3 KB
  28 Creating Multiple Analysis in Project by Refining Train Data.mp4 40.7 MB
  29 Automated Prediction download.en-US.srt 7.6 KB
  29 Automated Prediction download.en-US.vtt 7.3 KB
  29 Automated Prediction download.mp4 20.6 MB
  30 Deploying a Project.en-US.srt 2.8 KB
  30 Deploying a Project.en-US.vtt 2.7 KB
  30 Deploying a Project.mp4 9.1 MB
  31 Collaborate by inviting others.en-US.srt 2.9 KB
  31 Collaborate by inviting others.en-US.vtt 2.9 KB
  31 Collaborate by inviting others.mp4 9.4 MB
  32 Getting Help throughout the Project.en-US.srt 3.8 KB
  32 Getting Help throughout the Project.en-US.vtt 3.7 KB
  32 Getting Help throughout the Project.mp4 28.5 MB
  33 Project 2 - Stock Value Prediction using Qlik AutoML.en-US.srt 13 KB
  33 Project 2 - Stock Value Prediction using Qlik AutoML.en-US.vtt 12.3 KB
  33 Project 2 - Stock Value Prediction using Qlik AutoML.mp4 62.7 MB
  34 Project 3- Customer Churn Prediction.en-US.srt 9 KB
  34 Project 3- Customer Churn Prediction.en-US.vtt 8.6 KB
  34 Project 3- Customer Churn Prediction.mp4 40 MB
  35 Project 4 - Weather Forecast using Qlik AutoML.en-US.srt 5.4 KB
  35 Project 4 - Weather Forecast using Qlik AutoML.en-US.vtt 5.2 KB
  35 Project 4 - Weather Forecast using Qlik AutoML.mp4 23.8 MB
  36 Project 5 - Multiclass Analysis on BBC News Dataset.en-US.srt 8.6 KB
  36 Project 5 - Multiclass Analysis on BBC News Dataset.en-US.vtt 8.2 KB
  36 Project 5 - Multiclass Analysis on BBC News Dataset.mp4 36.3 MB
  37 How to Improve Model Score.en-US.srt 5.1 KB
  37 How to Improve Model Score.en-US.vtt 4.9 KB
  37 How to Improve Model Score.mp4 57.3 MB
  38 Resources to get Datasets to practice Machine Learning.en-US.srt 5.8 KB
  38 Resources to get Datasets to practice Machine Learning.en-US.vtt 5.5 KB
  38 Resources to get Datasets to practice Machine Learning.mp4 39 MB
  39 Congratulations.en-US.srt 2.9 KB
  39 Congratulations.en-US.vtt 2.8 KB
  39 Congratulations.mp4 22.6 MB
  Bonus Resources.txt 409.6 B
  Get Bonus Downloads Here.url 204.8 B
  Wine Quality - Red - Test.csv.txt 20.8 KB
  Wine Quality - Red - Train.csv.txt 58 KB
  ▲ 121 total files

Description


Qlik AutoML No-Code Machine Learning and Predictions
https://TutGator.com

Duration: 2h 47m | Video: .MP4, 1280x720, 30 fps | Audio: AAC, 48 kHz, 2ch | Size: 1.08 GB
Genre: eLearning | Language: English

This Qlik AutoML Course will help you to become a Machine Learning Expert and will enhance your skills by offering you comprehensive knowledge, and the required hands-on experience on this newly launched Cloud based ML tool, by solving real-time industry-based projects, without needing any complex coding expertise.
Top Reasons why you should learn Qlik AutoML :
Qlik AutoML is an automated machine learning platform for analytics teams, or any individual, to generate models, make predictions, and test business scenarios using a simple, code-free experience.
You do not need Advanced Coding expertise generally required in the field of Machine Learning.
Complex knowledge of Statistics, Algorithms, Mathematics that is difficult to master is also not required.
Machine Learning Models that usually takes many days to build, are available very quickly in just a few minutes.
The demand for ML professionals is on the rise. This is one of the most sought-after profession currently in the lines of Data Science.
There are multiple opportunities across the Globe for everyone with Machine Learning skills.
Qlik AutoML has a small learning curve and you can pick up even advanced concepts very quickly.
You do not need high configuration computer to learn this tool. All you need is any system with internet connectivity.
Top Reasons why you should choose this Course
This course is designed keeping in mind the students from all backgrounds - hence we cover everything from basics, and gradually progress towards advanced topics.
We will not just do some clicks, create model and finish the course - we will learn all the basics, and the various parameters on which ML models are evaluated - in detail. We will learn how to improve the model and generate more accurate predictions.
We take live Industry Projects and do each and every step from start to end in the course itself.
This course can be completed in a Day !
All Doubts will be answered.
Most Importantly, Guidance is offered beyond the Tool - You will not only learn the Software, but important Machine Learning principles. Also, I will share the resources where to get the best possible help from, & also the sources to get public datasets to work on to get mastery in the ML domain.
A Verifiable Certificate of Completion is presented to all students who undertake this Qlik AutoML course.

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