#2020-07-18 11:56:01

One of the oldest algorithms that ever existed, also Decision Trees make up the building blocks of random forest algorithms.

#SUPERVISED

#MACHINE LEARNING

#CLASSIFICATION

#REGRESSION

Decision Trees

  • Dataset: Large and Small
  • Speed: Fast
  • Ease of Use: Easy
  • Normalization: No
  • Predictor: Numeric or Categorical
  • Primary Problem: Multiclass or Binary
  • Mixed-type: Yes
  • Missing Data Handling: Yes
  • Popularity: 45%

DECISION TREE tutorials in python

1- Simple Implementation

A very simple Decision Tree implementation with clean code, minimalistic implementation and simple lingo.

2- Step by Step

Follow every step involved in a simple Decision Tree implementation in Python with Scikit-Learn library. Steps are explained in detail in case anyone gets confused.

3- Optimization & Parameters

Once you understand a Machine Learning Algorithm, the next step is to understand its finesse. How to tune Decision Trees? How to Optimize Decision Trees? How to Adjust Decision Tree Parameters? You will find answers to these question here.

4- Pros & Cons

Check out these pros and cons to learn about the advantages and disadvantages Decision Trees offer in Machine Learning.

5- History

Read about the breathtaking history of Decision Trees.