MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 28 lectures (1h 49m) | Size: 587.7 MB

If a person will have heart failure or not

Everything you need to know about Random forest and decision trees

Decision Trees

Random forest trees

Data visualisation

Applying Machine learning on real data

Python

Basic machine learning concepts

Mac or Windows

At least 4 Gb RAM

Basic coding

Hi , and welcome to the Decision Trees using ML Course

Are you someone who is new to machine learning

Are you someone who wants to get started with machine learning

Do you want to learn the most popular supervised machine learning algorithm

Can you sacrifice 1 McDonalds Meal for this amazing course

YES

Then this course is for you

In this course we will be studying the most popular machine learning algorithm , which is the Decision trees or the random forest trees. These give one of the best accuracies while training your machine learning model . I will be covering everything from a bners perspective and we will be reaching the advanced level in no . So buckle up !

In this course you'll learn -

What is Decision Tree

Machine learning application on real dataset

Visualising data

Splitting the dataset

How to apply decision trees

What are random forest trees

Precision Score

Confusion matrix

Work with really cool datasets and build a real project

I believe in the concept of "Learn by doing " and this is emphasised in my class , I myself learn by doing things instead of listening to boring lectures !

You'll be able to use real datasets after this class and learn all the necessary components required for getting started with machine learning

Will it be challeg YES

Will you get difficulty in understanding things YES (if you are a bner)

But that is what my course is for , it will help you make an app in quick and you will surely learn many things going forward !

Good luck !

Students willing to know the most famous supervised machine learning technique

Bner python programmers willing to get into machine learning

Machine learning bners willing to take their skills a notch higher




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