Coding-free AI data analysis using Orange - Lv.4 Classification machine learning analysis

This lecture is part of Maso Campus's 'Coding-Free AI Data Analysis Using Orange' series.

This is the Lv.4 course of the single-course sales version .

If you would like an all-in-one Orange data analysis course that integrates from Lv.0 to Lv.4, please refer to the lecture below .

Advanced Data Analysis for Beginners: Orange Step-by-Step Master Pack https://inf.run/qmPWu

Easy data analysis with AI analysis tools!

Don't be afraid of coding or data analysis anymore!

Develop your data analysis skills without coding with Orange.

Learn this!

• Logistic Regression Analysis Using the No-Coding Analysis Tool Orange

• Understanding and Applying Model Evaluation Metrics

• Practice with various classification models

• Improving analytical capabilities through ensemble techniques

• Strengthening practical data application capabilities

  
  

From data analysis concepts to hands-on training using AI tools!

Advanced data analysis without a developer? Of course!

“Coding-Free AI Data Analysis Lv.4 Classification Machine Learning Analysis” removes the complexity of machine learning,

We cover data analysis in a way that is accessible to anyone interested in data analysis.

Are you feeling overwhelmed by advanced data analysis?

In 'Coding-Free AI Data Analysis Lv.4 Classification Machine Learning Analysis', we cover everything from basic binary classification to model evaluation.

You can learn various techniques, including ensemble techniques that combine and analyze multiple models.

You'll master how to go beyond simple data analysis to build practical, effective classification models.

The tool that makes all this possible is “Orange.”

Import, process, and analyze data with just drag and drop—no complex coding required.

Perform data science tasks on par with developers

You can create value comparable to that of a developer.

Have you ever wondered about data science? Now's the time to find out.

Anyone can easily perform advanced data analysis with Maso Campus' lectures.

You too can now aim for a high salary in data science.

Through Maso Campus’ “Coding-Free AI Data Analysis Lv.4 Classification Machine Learning Analysis” course

Unleash the value of your data.

You can become a data analyst yourself and gain experience analyzing real data.

Lecture Features

This course covers classification models in depth, yet is structured to enable data analysis without coding knowledge. It will help anyone easily build and evaluate analysis models without having to learn complex coding.

I recommend this to these people

• Those who need data-driven decision making

• Anyone who wants to master advanced analysis techniques without complex coding

• Those who want to strengthen their data analysis capabilities

• IT and non-IT professionals considering a career change

• Job seekers who want to differentiate themselves in the job market

• Anyone who wants to build a career in the IT industry, such as starting a business, changing jobs, or joining a company.

  
  

After taking the AI-powered data analysis course, which is easier and more convenient,

Maso Campus's "Coding-Free AI Data Analysis Lv.4 Classification Machine Learning Analysis" course

Suitable for anyone interested in advanced data analytics and data science.

• Understanding the basic and advanced concepts of classification models

• Acquire model evaluation techniques

• Applying the model to a real dataset

• Master advanced analytical techniques

Develop your data science expertise and practical skills with Orange.

Now you can master data analysis without the burden of coding!

Learning Content

1. Implementing a binary classification model

2. Evaluate the performance of the classification model!

3. Accurately measure the model's performance!

4. Combine classification models to improve performance!

Expected Questions Q&A

1. Do you need prior knowledge of artificial intelligence, coding, or design?
   A. This course is designed to provide anyone interested in artificial intelligence with the skills they need to apply it in practice. It doesn't require any AI, coding, or even Excel skills.

2. Are there any requirements or prerequisites for taking the course?
   A. Since this is a practice-oriented lecture, it would be a good idea to prepare a dual monitor or extra device that can separate the lecture and practice screens.

3. Orange? Do I need to purchase separate software?
   A. Orange is distributed free of charge, and it provides step-by-step instructions, from download to installation, so anyone can easily build an AI data analysis environment. The portable version allows use without an external internet connection, making it ideal for use in high-security work environments.

Introduction of knowledge sharers

Please check before taking the class!