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

Everything you need to know about Random forest and decision trees

What you'll learn:
Decision Trees
Random forest trees
Data visualisation
Applying Machine learning on real time data
If a person will have heart failure or not ?

Requirements
Python
Basic machine learning concepts
Mac or Windows
At least 4 Gb RAM
Basic coding

Description
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 beginners perspective and we will be reaching the advanced level in no time . So buckle up !

In this course you'll learn -

What is Decision Tree

Machine learning application on real time 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 time 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 time datasets after this class and learn all the necessary components required for getting started with machine learning

Will it be challenging ? YES

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

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

Good luck !

Who this course is for
Students willing to know the most famous supervised machine learning technique
Beginner python programmers willing to get into machine learning
Machine learning beginners willing to take their skills a notch higher



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