Loading

Machine Learning

Decision Tree Introduction with example. The Complete Machine Learning Developer Course 2022 [Videos].

Decision tree algorithm falls under the category of supervised learning. They can be used to solve both regression and classification problems.

  • Decision tree uses the tree representation to solve the problem in which each leaf node corresponds to a class label and attributes are represented on the internal node of the tree.
  • We can represent any boolean function on discrete attributes using the decision tree.

See All

Comments (139 Comments)

Submit Your Comment

See All Posts

Related Posts

Machine Learning / Youtube

What is machine learning in simple words?

Learning means the acquisition of knowledge or skills through study or experience. Based on this, we can define machine learning (ML) as follows: It may be defined as the field of computer science, more specifically an application of artificial intelligence, which provides computer systems the ability to learn with data and improve from experience without being explicitly programmed. Basically, the main focus of machine learning is to allow the computers learn automatically without human intervention. Machine learning is a subfield of artificial intelligence, which is broadly defined as the capability of a machine to imitate intelligent human behavior. Artificial intelligence systems are used to perform complex tasks in a way that is similar to how humans solve problems.
27-jan-2021 /10 /139

Machine Learning / Youtube

What is sequence data in machine learning?

Sequence Modeling is the task of predicting what word/letter comes next. Unlike the FNN and CNN, in sequence modeling, the current output is dependent on the previous input and the length of the input is not fixed. In this section, we will discuss some of the practical applications of sequence modeling.
3-jan-2022 /10 /139

Machine Learning / Youtube

What is descriptive statistics in machine learning?

DESCRIPTIVE STATISTICS : Descriptive Statistics is a statistics or a measure that describes the data. INFERENTIAL STATISTICS : Using a random sample of data taken from a population to describe and make inferences about the population is called Inferential Statistics.
3-jan-2022 /10 /139