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

/

Data Analysis

Coding-free AI data analysis using Orange - Lv.3 Predictive machine learning analysis

From building analysis models to applying them with Orange! Learn easily and quickly! Master the core skills of data science without coding!

3 learners are taking this course

  • masocampus
시리즈
no-code
Machine Learning(ML)
Orange3
No-code
Statistics
linear-regression

What you will learn!

  • Building a predictive model using Orange, a no-coding artificial intelligence analysis tool

  • Acquire model evaluation and optimization techniques

  • Understanding and Applying Stochastic Gradient Descent

  • Practice of linear regression techniques

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

This is the Lv.3 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

The easy way to data analysis without difficult coding knowledge!

From building and deploying analytical models with Orange! Learn quickly and easily!

Master core data science skills without coding!

Learn this!

  • Building a predictive model using Orange, a no-coding AI analysis tool.

  • Acquire model evaluation and optimization techniques

  • Understanding and Applying Stochastic Gradient Descent

  • Practice advanced analysis techniques

Data analysis with AI, from model building to evaluation.

Not all data analysis is created equal.

In the world of data analytics, classification and prediction are fundamental and apex technologies.

In this course, you'll learn how to freely manipulate machine learning models and solve real-world business problems.

Do you find classification and prediction models overwhelming? It doesn't have to be.

"Coding-Free AI Data Analysis Lv.3: Predictive Machine Learning Analysis" helps anyone easily create data models and gain meaningful insights without complex coding.

Starting with basic predictions and progressing to multilayer perceptrons, we will conduct in-depth learning through step-by-step practice.

The key to this lecture is ‘practicality.’

Using Orange, you will learn practical analytical techniques and how to use appropriate tools.

You'll learn not only theoretical knowledge but also practical data analysis and model evaluation techniques, giving you the skills you need to apply them immediately after training.

Are you jealous of the salaries of data science developers?

It's okay if you don't have development skills.

Anyone can perform high-level data analysis with Maso Campus' lectures.

In particular, this lecture covers techniques for storing and utilizing analysis models, selecting features to increase efficiency, and evaluating the generalizability of models.

Discover the hidden value of your data and maximize its potential with this lecture from Masocampus' "Coding-Free AI Data Analysis" series.

You will be able to fully experience the potential of data that you were not aware of.

Lecture Features

This course is designed to provide an in-depth understanding of predictive models and their practical application without coding. It breaks down the barriers of complex programming and empowers anyone to confidently perform data analysis.

  • 1. Orange can be used by everyone from beginners to experts!

Orange is an ideal tool for those new to data science and machine learning, allowing you to intuitively build data models without complex coding.

  • 2. Understanding predictive models and artificial neural networks

In this course, you'll learn how to implement and implement a variety of models, from the most basic predictive models to simple linear regression and multilayer perceptrons, all using Orange. You'll master how to recognize and predict important patterns in data.

  • 3. Model Evaluation and Utilization

You will learn how to evaluate model bias and variance, understand the coefficient of determination R² of regression models, and learn evaluation metrics such as RMSE, MSE, and MAE, and master effective model evaluation methods through practice.

  • 4. Advanced analytical techniques applicable to practice

From the simplest predictions to learning the coefficients of determination and evaluation metrics of various regression models, you can become a data analyst who can solve a variety of data science problems.

I recommend this to these people

  • Those who want to strengthen their practical data analysis skills

  • Anyone who wants to improve their data analysis skills without difficult coding

  • Anyone who wants to easily build and evaluate accurate models

  • Those who feel the limitations of Excel and want a simpler advanced analysis tool

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

  • Office workers considering a career change to the IT field

After taking the AI-powered data analysis course that doesn't require coding,

Maso Campus's coding-free AI data analysis Lv.3 predictive machine learning analysis course

Ideal for anyone looking to delve deeper into data science.

  • Basic understanding and implementation of predictive models

  • Acquire model evaluation and optimization techniques

  • Advanced analytical techniques and hands-on experience

  • Improving practical application skills

Take your data science to the next level with Orange!

Master data analysis without complex coding knowledge.

Learning Content

1. Exploring Data with Orange

2. Evaluate the model's explanatory power using the regression model's coefficient of determination!

3. Improve model efficiency!

4. From perceptrons to complex artificial neural network structures!

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?

  • Those who want to strengthen their practical data analysis skills

  • Anyone who wants to improve their data analysis skills without difficult coding

  • Anyone who wants to build accurate models and easily perform evaluations

  • For those who feel the limitations of Excel and want a simpler advanced analysis tool

  • Job seekers who want to highlight their own uniqueness in the job market

  • Working professionals considering a career change to the IT field

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

6,848

Learners

824

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

24 lectures ∙ (9hr 54min)

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!