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

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Confused about understanding machine learning models? Well, this video will help you grab the basics of each one of them. From what they are, to why they are used, and what purpose do they serve.

7 Basic Machine Learning Concepts for Beginners
https://www.youtube.com/watch?v=4hlSztfaqoI

What is Deep Learning and How it Works | Deep Learning Explained
https://www.youtube.com/watch?v=DfRc3CeXLXw

Machine Learning Model Deployment Explained
https://www.youtube.com/watch?v=SHyFjJ-tIJE

What is Neural Network and How it Works | Neural Network Explained
https://www.youtube.com/watch?v=Ulx2CuMCyzI

After watching this video, you’ll be able to answer,
– How many machine learning models are there
– Some common machine learning models explained
– What is supervised learning
– What is unsupervised learning
– What is regression
– Types of ml models
– Common types of regression
– Common types of classification
– What is classification
– What are popular ML models explained
– What are the types of supervised learning
– What are the types of unsupervised learning
– Understanding the basics of machine learning models
– Learn machine learning models from scratch
– What are common machine learning models for beginners
– Understand machine learning models overview
– Whats are few ml models basics to grasp

Obviously, there is a ton of complexity if you dive into any particular model, but this should give you a fundamental understanding of how each machine learning model works!

Read the full blog on https://brandlitic.com/basics-of-machine-learning-models-explained/

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Comments

Jack Kuang says:

SVM is unsupervised thx

Aditya Katheeth says:

Great content!!! brilliant explaination & please get rid off the telemarketing music

Prakhar Rathi says:

Why are you taking the modes of the results in random forest regression? It's incorrect. Shouldn't it be the mean or median?

Trix Trigo says:

remove background sound please

Mr5nan says:

Yes, so all does not include semi-supervised learning, reinforcement learning, and many more.

Lewi Uberg says:

Check out Tsetlin Machines 👌

ExpliSid says:

i dont like the music

SK K says:

Didn't watch because of added noise

Kajan S says:

Thank you. If i wanted to forecast retail sales, which model will i use? Some of the inputs I will be using is transactions date, if product was on promo, type of promo, units sold, sales value. Output to show predicted number of units to be sold today+10 days.

Ananya Pandey says:

You should have titled it as Overview

kamikadze366 says:

Speaker: "Easy to understand"
Also speaker: talks in turkey-like-english

But still greater knowledge than mine >_>

Hichem says:

What about reinforcement?? Is it a third ML MODEL ( DL is an ML)? Is it an unsupervised learning?

bunnyistaken says:

It was an amazing refresher for me.. Now I know where I need to concentrate more and learn more.

Bhavick Singh says:

Great content ❤

Peter Mathes says:

This is awesome. Package your stuff into a Udemy teaching course that rewards you for all this shared knowledge and wisdom about ML!

Tamal Majumder says:

I needed this . KNN falls under which category?

Sarah says:

I was passed out just by thinking about my ML exam and this video boosted up my confidence I mean at least now I’ve an idea about that subject. Thanks to you

Lisa Kristinardottir says:

Ugh the music. Please ditch that. Otherwise great content.

Thej Kiran says:

great video. Highly underrated channel!

Emma L says:

Good summary. Very helpful !

Vincent Jr says:

Where is lstm models ?

PerfectlyNormalBeast says:

Great summary

As a visual person, it would have helped if you zoomed out occasionally when jumping topic to topic, so I could see the tree

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