Inflearn brand logo image
Inflearn brand logo image
Inflearn brand logo image
Data Science

/

Data Analysis

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

Don't be afraid of coding or data analysis anymore! Develop your data analysis skills without coding with Orange.

4 learners are taking this course

  • masocampus
no-code
시리즈
AI
Orange3
logistic-regression
No-code
Statistics

What you will learn!

  • Logistic Regression Analysis Using No-Coding Analysis Tool Orange

  • Understanding and applying model evaluation metrics

  • Practice with various classification models

  • Improving analytical capabilities through ensemble techniques

  • Strengthening the ability to apply practical data

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.

  • 1. Data analysis made possible by anyone using Orange!

Orange is a tool for data analysis beginners and experts alike, allowing you to effectively train and apply classification models through an intuitive interface without complex coding.

  • 2. Building and evaluating classification models

In this course, you will learn how to build various classification algorithms, such as binary classification, support vector machines (SVMs), and random forests, and learn how to precisely evaluate model performance using evaluation metrics such as receiver operating characteristic (ROC) curves and confusion matrices.

  • 3. Handling multiple analysis models

This course focuses on ensemble techniques, which combine multiple models to achieve predictive accuracy difficult to achieve with a single model. This will teach you how to maximize model accuracy and strengthen your ability to analyze complex data.

  • 4. Practical Application of Advanced Data Analysis Techniques

By applying classification models to diverse data, you can learn practical data analysis techniques. This process will strengthen your practical skills as a data scientist.

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!

  • 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.

  • Additionally, since the training is conducted based on Windows OS, we recommend taking the course in a Windows environment .

  • Lecture notes and practice files are available in the <00. Textbook Download Center> section .

Recommended for
these people

Who is this course right for?

  • For those who need data-driven decision making

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

  • Anyone who wants to strengthen their data analysis capabilities

  • IT and non-IT professionals considering a career change

  • Job seekers who want to highlight their own uniqueness 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

Need to know before starting?

  • You can learn more easily by taking this course after becoming familiar with the basic usage of Orange.

  • We recommend that you take this course after completing Masocampus's "Coding-free AI Data Analysis Lv. 0 Introduction to Artificial Intelligence-based Data Analysis" or "Coding-free AI Data Analysis Lv. 1 First Step to Data Mining using Orange" course.

Hello
This is

6,847

Learners

826

Reviews

95

Answers

4.7

Rating

85

Courses

"어제보다 성장하겠습니다. 그리고, 어제보다 성장하려는 사람을 돕겠습니다."

 

마소캠퍼스의 진심과 소망을 담은 Actionable Content로,

2013년부터 온오프라인으로 함께해 온 누적 강의 1억시간!

이 소중한 경험과 시간은 언제나 마소캠퍼스와 수강생 모두의 성장의 원천입니다.

 

마소캠퍼스 팀은 우리의 모두의 성장을 위해 두 가지 원칙을 반드시 지킵니다.

 

1. 배우면 반드시 쓸 수 있는 Actionable Content

2. 참여자의 시간과 수고를 존중하는 Time-Saving Curriculum

 

마소캠퍼스의 Actionable and Time-Saving Curriculum으로 성장의 길을 함께 걸어나가길 기원합니다.

Curriculum

All

23 lectures ∙ (8hr 26min)

Course Materials:

Lecture resources
Published: 
Last updated: 

Reviews

Not enough reviews.
Please write a valuable review that helps everyone!

$70.40

masocampus's other courses

Check out other courses by the instructor!

Similar courses

Explore other courses in the same field!