Machine Learning Course - Lesson 5: Data Scaling - Normalization (JavaScript - No Libraries)

preview_player
Показать описание
Data scaling is a step we do to give features the same importance when doing classification. Now, maybe we don’t want exactly that and we’ll talk about adding weights to features later, but leveling the playing field is something you need to know how to do anyway. There are two techniques people commonly use for this. The one I’ll focus on is called normalization, where values are remapped to be between 0 and 1. The other one, standardization, is going to be your homework!

⭐️HOMEWORK⭐️
Try to implement standardization and apply it on our data. Share screenshots and your code on my Discord server:
The first to get it right will get a shoutout in a future video!

⭐️LINKS⭐️

📁 Data

💻 Code
✔️ Use P4 to follow along
✔️ P5 is the code after this lesson

⭐️TIMESTAMPS⭐️
00:00 Introduction
01:09 Implementing Normalization
04:55 Normalizing in Real-time
09:41 Understanding Outliers
11:49 Homework (Outliers)
  1. Radu Mariescu-Istodor
  2. data scaling in javascript
  3. data scaling tutorial
  4. normalization in javascript
  5. understanding normalization
  6. how to normalize data
Рекомендации по теме
Machine Learning Full 9:38:32

Machine Learning Full Course - Learn Machine Learning 10 Hours | Machine Learning Tutorial | Edureka

Machine Learning | 0:07:52

Machine Learning | What Is Machine Learning? | Introduction To Machine Learning | 2024 | Simplilearn

Python Machine Learning 0:49:43

Python Machine Learning Tutorial (Data Science)

Machine Learning Explained 0:02:35

Machine Learning Explained in 100 Seconds

Machine Learning Course 9:52:19

Machine Learning Course for Beginners

Machine Learning Tutorial 1:02:40

Machine Learning Tutorial Part - 1 | Machine Learning Tutorial For Beginners Part - 1 | Simplilearn

Deep Learning | 0:05:52

Deep Learning | What is Deep Learning? | Deep Learning Tutorial For Beginners | 2023 | Simplilearn

But what is 0:18:40

But what is a neural network? | Chapter 1, Deep learning

Ordinal Encoding Explained 0:05:22

Ordinal Encoding Explained with Examples in Hindi | Machine Learning Course

Machine Learning Tutorial 0:06:51

Machine Learning Tutorial Python -1: What is Machine Learning?

Detailed Roadmap for 0:14:59

Detailed Roadmap for Machine Learning | Free Study Resources | Simply Explained

Reinforcement Learning Course 3:55:27

Reinforcement Learning Course - Full Machine Learning Tutorial

All Machine Learning 0:05:01

All Machine Learning Models Explained in 5 Minutes | Types of ML Models Basics

Supervised vs Unsupervised 0:06:27

Supervised vs Unsupervised vs Reinforcement Learning | Machine Learning Tutorial | Simplilearn

What is Machine 0:17:21

What is Machine Learning? | Machine Learning Basics | Machine Learning Tutorial | Edureka

#4 Machine Learning 0:06:57

#4 Machine Learning Specialization [Course 1, Week 1, Lesson 2]

Machine Learning With 9:58:08

Machine Learning With Python Full Course 2023 | Machine Learning Tutorial for Beginners| Simplilearn

Machine Learning Algorithms 1:11:05

Machine Learning Algorithms | Machine Learning Tutorial | Data Science Algorithms | Simplilearn

Artificial Intelligence Full 4:52:51

Artificial Intelligence Full Course | Artificial Intelligence Tutorial for Beginners | Edureka

AI VS ML 0:09:45

AI VS ML VS DL VS Data Science

How to Get 0:10:32

How to Get Started with Machine Learning & AI

Machine Learning Crash 1:58:13

Machine Learning Crash Course-2 Hours | Learn Machine Learning | Machine Learning Tutorial | Edureka

Practical Deep Learning 1:22:56

Practical Deep Learning for Coders: Lesson 1

Deep Learning Basics: 1:08:06

Deep Learning Basics: Introduction and Overview

Комментарии
Автор

Good time for some more coding with Radu, happy Friday! :)

Frankslaboratory
Автор

Wow, this is shorter. I'll watch it in a few hours but already leave my like <3

MrJackferson
Автор

Here is my attempt at standardization

utils.normalizePointsStd = (points) => {
console.log(points);
const dimensions = points[0].length;
for (let i = 0; i < points.length; i++) {
for (let j = 0; j < dimensions; j++) {
points[i][j] =
points[i][j] - utils.mean(...points.map((p) => p[j])) / => p[j]));
}
}
};

utils.mean = (...inputs) => {
let sum = 0;
for (let input of inputs) {
sum += input;
}
return sum / inputs.length;
};

utils.standardDeviation = (...inputs) => {
const m = utils.mean(...inputs);
let sum = 0;
for (let input of inputs) {
sum += (input - m) ** 2;
}
return Math.sqrt(sum / (inputs.length - 1));
};

fatal
Автор

Hey, Bro I like your videos, could you make a video about building voice control systems over the internet?

suleymanamangeldiyew
Автор

I am not getting any verification email when signed up to your website, I am practicing your campuzzle javascript game, I am stuck at a point, I am looking for the source code to compare . can you help my?

mdsalahuddin