Decision Trees – Beginner to Advanced using Machine learning

• Advantages and Disdavantages

  02:44

• How to encounter Overfitting ?

  07:11

• Decision tree masterclass

  07:19

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