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Learn Machine Learning Concepts, Build your Model & get accurate predictions without writing any Code using Qlik AutoML

What you will 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

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 MLย 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 :


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  • 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, &ย 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 AWS SageMaker Canvas course.

English
language

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