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

Описание: 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  

If you need inspiration you can check my older Machine Learning video:
   • Learn Machine Learning (!BB - Ep1)  

Draw for me :-) I will use your data in the future:
Call for help video:    • Help me make a NEW Machine Learning Course  
Data collection tool: https://radufromfinland.com/projects/ml

⭐️LINKS⭐️

📁 Data
https://github.com/gniziemazity/drawi...


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

'Future' Chart Code: https://github.com/gniziemazity/javas...


⭐️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