Data analysis and machine learning without coding - Orange3 Basics

You can analyze data without coding!

💭 Have you ever thought about this?

"I feel dizzy just looking at Python code that implements machine learning."
"I've heard a lot about linear regression, the K-means algorithm, etc., but I don't know exactly what they are."
"I want to visualize data in a simple way, but do I need to learn coding first?"
"I want to write a good school report, but I don't have enough time to study."
"I hope the results come out quickly."

This course is for those who are curious about and want to learn machine learning but don't feel like learning a text-based programming language. You can also easily analyze data collected during study or in everyday life. You'll learn about the collection, visualization, and analysis of numerical, image, and text data, as well as the basics of machine learning theory and evaluation metrics. As a final project, you'll visualize and analyze real-world data—the number of confirmed COVID-19 cases.

💻 You can learn even if you don't understand text coding.

Here, one round widget is equivalent to one function.
With a simple workflow like this:
1. Load the image and embed it (extract features and convert them into numerical values that can be calculated),
2. Training is performed using kNN, Random Forest, and Logistic Regression learning algorithms.
3. You can check the learning results.

Orange3 may not be particularly aesthetically pleasing, but it offers a variety of visualization features. It can even be used with just a few drag-and-drop operations. The image below is an example of an animation showing the change in the number of confirmed cases over time.

▲ In addition to how to use the Orange3 tool, we provide detailed explanations when understanding basic concepts is needed.

▲ This is a text analysis practice. Frequently occurring words are identified in word cloud form and preprocessed.

✔️ Learn things like this

• Orange3 data analysis tool (runs in Windows environment)

• Create a simple CSV file using Excel or Notepad
• If you have Python knowledge, you can create and use your own widgets. However, this is not covered in this lecture.

😎 This lecture!

• We will proceed slowly so that you can follow the exercises step by step from the beginning.
• The Orange3 tool itself is visual, making it easy to understand.
• In areas where conceptual explanation is required, theoretical lectures have been added.
• Finally, we presented real-life application cases by analyzing COVID-19 data.

📂 Introduction to lecture materials

• Type: Provides some of the datasets used in the lecture.
• Serving size:
1. Linear regression practice data (train.csv, test.csv)
2. Image clustering and classification data (20 paintings by Monet and Manet and 15 paintings by other artists)
3. Text clustering and classification data (20 text files of Kennedy's speeches)
4. 1 piece of data on the number of confirmed COVID-19 cases

🔍 Before taking the class, I have questions!