Machine Learning Course - Lesson 3: Feature Extraction and Visualization in JavaScript @Radu
Machine Learning Course - Lesson 3: Feature Extraction and Visualization in JavaScript  @Radu
Uploaded February 2023 | Updated September 2026, 2 weeks ago
Features are properties of the data like, the number of points, the number of paths, the width of the drawing, the height and so on. Machine learning relies on features extracted from the data.

In this video I'll teach you how to use JavaScript to extract features from our samples and feature them on a chart. First I'll show you how to use a Google Chart and then we use a custom chart we'll build in the next video!

⭐️HOMEWORK⭐️
Extract 2 other features from the data. Share screenshots and your code on my Discord server:
discord.com/invite/gJFcF5XVn9

If you need inspiration you can check my older Machine Learning video:
youtu.be/QXB1ytG95gs

Draw for me :-) I will use your data in the future:
Call for help video: youtu.be/Yw2QZ1vq2ek
Data collection tool: radufromfinland.com/projects/ml

⭐️LINKS⭐️

📁 Data
github.com/gniziemazity/drawing-data


💻 Code
tps://github.com/gniziemazity/ml-course
✔️ Use P2 to follow along
✔️ P3 is the code after this lesson

'Future' Chart Code: github.com/gniziemazity/javascript_chart


⭐️TIMESTAMPS⭐️
00:00 Introduction
00:55 Feature Extraction
06:41 Feature Visualization
08:56 How to use a Google Chart
17:00 Using a Custom Chart
21:49 Interacting with the Custom Chart
30:23 Inspecting the Data
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Radu Mariescu-Istodor |

Machine Learning Course - Lesson 3: Feature Extraction and Visualization in JavaScript

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