
No-Code Machine Learning with Qlik AutoML
Learn Machine Learning Concepts, Build your Model & get accurate predictions without writing any Code using Qlik AutoML
Language: english
Note: 4.0/5 (32 notes) 14,589 students
Instructor(s): Prince Patni
Last update: 2022-03-31
What you’ll learn
- Machine Learning on Qlik AutoML without writing any Code
- 5 Live Projects with Sample Dataset
- Training and Testing ML Models, Improving Accuracy
- Basics of Machine Learning
- Model Parameters like SHAP, Feature Importance, Confusion Matrix etc, both in theory and practical
- Resources to get right set of data to practice and apply Machine Learning
- All Features and Options in Qlik AutoML
- Creating Projects, Analysis & Versions in Qlik AutoML
- Using Scenario Editor to do What-If Analysis & to gain business insights
Requirements
- No experience needed. We will start with the basics, and will learn everything you need to know to get started with doing practical Machine Learning without writing a single line of code, in Qlik AutoML
- No Advanced Machine Learning knowledge required, No heavy Software required, No Coding Expertise needed.
Description
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.
Who this course is for
- Machine Learning Enthusiasts
- Data Science Professionals
- Students / Professionals who want to enter ML domain but don’t have Coding expertise
- Anybody in General who want to know what is Machine Learning and apply it practically but don’t know where to begin.
Course content
- Introduction to Machine Learning & Automated Machine Learning (AutoML)
- Machine Learning Introduction
- What is AutoML
- Key Benefits of AutoML
- How AutoML Works
- Qlik AutoML Introduction & Features
- Introduction to Qlik AutoML
- Features of Qlik AutoML
- Use Cases of Qlik AutoML
- Algorithms used by Qlik AutoML
- Important ML Terms to learn
- F-Score
- Permutation Importance
- SHAP Importance
- Model Fitting
- Correlation Matrix
- ROC Curve
- Confusion Matrix
- Hyper Parameters
- Cross Validation & Automatic Holdout
- Qlik AutoML Signup and Setup
- Sign up for Qlik AutoML Free Trial
- Starting with Qlik AutoML
- First Qlik AutoML Project – Breast Cancer Diagnostic Prediction Analysis
- Adding Data to Qlik AutoML
- Creating Project & Managing Data Pipeline
- Exploring Training Data Model Output
- Understanding Qlik AutoML Cards in detail
- Using the Model to generate Predictions on Test Data
- Comparing Predicted Values with Actual Values to check Accuracy
- Using Scenario Editor to perform What If Analysis on Predictions
- Creating Multiple Analysis in Project by Refining Train Data
- Automated Prediction download Settings
- Deploying a Project
- Collaborate by inviting others
- Getting Help throughout the Project
- 2nd Qlik AutoML Project
- Stock Value Prediction using Qlik AutoML
- 3rd Qlik AutoML Project
- Customer Churn Prediction
- 4th Qlik AutoML Project
- Weather Forecast using Qlik AutoML
- 5th Qlik AutoML Project
- Multiclass Analysis on BBC News Dataset
- Next Steps
- How to Improve Model Score
- Resources to get Datasets to practice Machine Learning
- Congratulations on Course Completion
Time remaining or 347 enrolls left
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